Report

Dataset statistics

Number of variables	105
Number of observations	16
Missing cells	76
Missing cells (%)	4.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.2 KiB
Average record size in memory	848.0 B

Variable types

DateTime	1
Numeric	17
Categorical	87

Alerts

`dispute` is highly correlated with `total` and 5 other fields	High correlation
`non_violent_crises` is highly correlated with `violent_crises` and 8 other fields	High correlation
`violent_crises` is highly correlated with `non_violent_crises` and 8 other fields	High correlation
`limited_wars` is highly correlated with `non_violent_crises` and 4 other fields	High correlation
`wars` is highly correlated with `non_violent_crises` and 6 other fields	High correlation
`total` is highly correlated with `dispute` and 6 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` is highly correlated with `dispute` and 3 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]` is highly correlated with `non_violent_crises` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]` is highly correlated with `dispute` and 6 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]` is highly correlated with `limited_wars` and 5 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]` is highly correlated with `non_violent_crises` and 6 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]` is highly correlated with `dispute` and 5 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]` is highly correlated with `dispute` and 5 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]` is highly correlated with `non_violent_crises` and 9 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]` is highly correlated with `non_violent_crises` and 9 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]` is highly correlated with `dispute` and 2 other fields	High correlation
`dispute` is highly correlated with `total` and 5 other fields	High correlation
`non_violent_crises` is highly correlated with `violent_crises` and 7 other fields	High correlation
`violent_crises` is highly correlated with `non_violent_crises` and 9 other fields	High correlation
`limited_wars` is highly correlated with `non_violent_crises` and 3 other fields	High correlation
`wars` is highly correlated with `non_violent_crises` and 8 other fields	High correlation
`total` is highly correlated with `dispute` and 5 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` is highly correlated with `wars` and 5 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` is highly correlated with `dispute` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]` is highly correlated with `non_violent_crises` and 3 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]` is highly correlated with `dispute` and 2 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]` is highly correlated with `violent_crises` and 8 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]` is highly correlated with `dispute` and 9 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]` is highly correlated with `non_violent_crises` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]` is highly correlated with `dispute` and 9 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]` is highly correlated with `non_violent_crises` and 8 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]` is highly correlated with `non_violent_crises` and 8 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]` is highly correlated with `dispute` and 2 other fields	High correlation
`non_violent_crises` is highly correlated with `violent_crises` and 3 other fields	High correlation
`violent_crises` is highly correlated with `non_violent_crises` and 5 other fields	High correlation
`limited_wars` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]`	High correlation
`wars` is highly correlated with `non_violent_crises` and 4 other fields	High correlation
`total` is highly correlated with `violent_crises` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` and 1 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` and 1 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]` is highly correlated with `violent_crises` and 2 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]`	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` and 1 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]` is highly correlated with `violent_crises` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]` is highly correlated with `non_violent_crises` and 1 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]` is highly correlated with `total` and 3 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]` is highly correlated with `non_violent_crises` and 4 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]` is highly correlated with `wars` and 3 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]` is highly correlated with `Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]`	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` is highly correlated with `Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Germany [DEU]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 78 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Italy [ITA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 76 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 77 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - France [FRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 78 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Russian Federation [RUS]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 76 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Canada [CAN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 77 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Canada [CAN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 76 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United Kingdom [GBR]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 77 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United Kingdom [GBR]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 78 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Japan [JPN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 77 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United States [USA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 75 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]` is highly correlated with `GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` and 85 other fields	High correlation
`year` is highly correlated with `dispute` and 103 other fields	High correlation
`dispute` is highly correlated with `year` and 91 other fields	High correlation
`non_violent_crises` is highly correlated with `year` and 93 other fields	High correlation
`violent_crises` is highly correlated with `year` and 90 other fields	High correlation
`limited_wars` is highly correlated with `year` and 90 other fields	High correlation
`wars` is highly correlated with `year` and 90 other fields	High correlation
`total` is highly correlated with `year` and 91 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` is highly correlated with `year` and 94 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` is highly correlated with `year` and 96 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]` is highly correlated with `year` and 96 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]` is highly correlated with `year` and 92 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]` is highly correlated with `year` and 92 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]` is highly correlated with `year` and 94 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]` is highly correlated with `year` and 96 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]` is highly correlated with `year` and 95 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]` is highly correlated with `year` and 98 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]` is highly correlated with `year` and 95 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]` is highly correlated with `year` and 91 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Germany [DEU]` is highly correlated with `year` and 92 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - France [FRA]` is highly correlated with `year` and 95 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Italy [ITA]` is highly correlated with `year` and 96 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Japan [JPN]` is highly correlated with `year` and 100 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Canada [CAN]` is highly correlated with `year` and 102 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Russian Federation [RUS]` is highly correlated with `year` and 100 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United States [USA]` is highly correlated with `year` and 100 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United Kingdom [GBR]` is highly correlated with `year` and 99 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]` is highly correlated with `year` and 103 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]` is highly correlated with `year` and 103 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]` is highly correlated with `year` and 103 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]` is highly correlated with `year` and 103 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Canada [CAN]` is highly correlated with `year` and 95 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United States [USA]` is highly correlated with `year` and 102 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United Kingdom [GBR]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]` is highly correlated with `year` and 103 other fields	High correlation
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]` has 6 (37.5%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]` has 6 (37.5%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]` has 6 (37.5%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]` has 5 (31.2%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]` has 6 (37.5%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]` has 6 (37.5%) missing values	Missing
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]` has 6 (37.5%) missing values	Missing
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]` is uniformly distributed	Uniform
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]` is uniformly distributed	Uniform
`GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]` is uniformly distributed	Uniform
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]` is uniformly distributed	Uniform
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]` is uniformly distributed	Uniform
`Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]` is uniformly distributed	Uniform
`Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Japan [JPN]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Canada [CAN]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United States [USA]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United Kingdom [GBR]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]` is uniformly distributed	Uniform
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United States [USA]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United Kingdom [GBR]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]` is uniformly distributed	Uniform
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]` is uniformly distributed	Uniform
`Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]` is uniformly distributed	Uniform
`year` has unique values	Unique
`violent_crises` has unique values	Unique
`total` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]` has unique values	Unique
`GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]` has unique values	Unique
`GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]` has unique values	Unique
`Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]` has unique values	Unique
`Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]` has unique values	Unique
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]` has unique values	Unique
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]` has unique values	Unique
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]` has unique values	Unique
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]` has unique values	Unique
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]` has unique values	Unique
`Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]` has unique values	Unique
`Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]` has unique values	Unique

Reproduction

Analysis started	2022-06-22 13:24:16.767719
Analysis finished	2022-06-22 13:25:27.990791
Duration	1 minute and 11.22 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

year
Date

HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

Minimum	1970-01-01 00:00:00.000002
Maximum	1970-01-01 00:00:00.000002

Histogram

Histogram with fixed size bins (bins=16)

dispute
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	87.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.375

Minimum	63
Maximum	107
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	63
5-th percentile	66.75
Q1	70.5
median	80.5
Q3	97.5
95-th percentile	107
Maximum	107
Range	44
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	15.61996586
Coefficient of variation (CV)	0.1851255213
Kurtosis	-1.540707544
Mean	84.375
Median Absolute Deviation (MAD)	12.5
Skewness	0.2549791868
Sum	1350
Variance	243.9833333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
107	2	12.5%
68	2	12.5%
63	1	6.2%
72	1	6.2%
79	1	6.2%
82	1	6.2%
95	1	6.2%
106	1	6.2%
99	1	6.2%
97	1	6.2%
Other values (4)	4	25.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
63	1	6.2%
68	2	12.5%
69	1	6.2%
71	1	6.2%
72	1	6.2%
77	1	6.2%
79	1	6.2%
82	1	6.2%
90	1	6.2%
95	1	6.2%

Value	Count	Frequency (%)
107	2	12.5%
106	1	6.2%
99	1	6.2%
97	1	6.2%
95	1	6.2%
90	1	6.2%
82	1	6.2%
79	1	6.2%
77	1	6.2%
72	1	6.2%

non_violent_crises
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	93.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.5

Minimum	70
Maximum	130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	70
5-th percentile	71.5
Q1	82.75
median	88
Q3	109.5
95-th percentile	127
Maximum	130
Range	60
Interquartile range (IQR)	26.75

Descriptive statistics

Standard deviation	18.82197297
Coefficient of variation (CV)	0.1991743172
Kurtosis	-0.6739379008
Mean	94.5
Median Absolute Deviation (MAD)	8.5
Skewness	0.7089213253
Sum	1512
Variance	354.2666667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
88	2	12.5%
93	1	6.2%
114	1	6.2%
126	1	6.2%
130	1	6.2%
118	1	6.2%
108	1	6.2%
87	1	6.2%
85	1	6.2%
82	1	6.2%
Other values (5)	5	31.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
70	1	6.2%
72	1	6.2%
77	1	6.2%
82	1	6.2%
83	1	6.2%
85	1	6.2%
87	1	6.2%
88	2	12.5%
91	1	6.2%
93	1	6.2%

Value	Count	Frequency (%)
130	1	6.2%
126	1	6.2%
118	1	6.2%
114	1	6.2%
108	1	6.2%
93	1	6.2%
91	1	6.2%
88	2	12.5%
87	1	6.2%
85	1	6.2%

violent_crises
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	150.9375

Minimum	90
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	90
5-th percentile	99
Q1	109.25
median	165.5
Q3	180.25
95-th percentile	188.5
Maximum	190
Range	100
Interquartile range (IQR)	71

Descriptive statistics

Standard deviation	36.24080343
Coefficient of variation (CV)	0.2401047018
Kurtosis	-1.457733166
Mean	150.9375
Median Absolute Deviation (MAD)	20
Skewness	-0.5732856418
Sum	2415
Variance	1313.395833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
90	1	6.2%
104	1	6.2%
107	1	6.2%
102	1	6.2%
110	1	6.2%
139	1	6.2%
155	1	6.2%
177	1	6.2%
178	1	6.2%
181	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
90	1	6.2%
102	1	6.2%
104	1	6.2%
107	1	6.2%
110	1	6.2%
139	1	6.2%
155	1	6.2%
158	1	6.2%
173	1	6.2%
177	1	6.2%

Value	Count	Frequency (%)
190	1	6.2%
188	1	6.2%
183	1	6.2%
181	1	6.2%
180	1	6.2%
178	1	6.2%
177	1	6.2%
173	1	6.2%
158	1	6.2%
155	1	6.2%

limited_wars
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	62.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.1875

Minimum	16
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	16
5-th percentile	18.25
Q1	21.75
median	25
Q3	26
95-th percentile	30.25
Maximum	31
Range	15
Interquartile range (IQR)	4.25

Descriptive statistics

Standard deviation	4.16683333
Coefficient of variation (CV)	0.172272179
Kurtosis	-0.2284627711
Mean	24.1875
Median Absolute Deviation (MAD)	2.5
Skewness	-0.1575500079
Sum	387
Variance	17.3625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
25	4	25.0%
26	2	12.5%
30	2	12.5%
19	2	12.5%
22	1	6.2%
31	1	6.2%
24	1	6.2%
21	1	6.2%
16	1	6.2%
23	1	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	1	6.2%
19	2	12.5%
21	1	6.2%
22	1	6.2%
23	1	6.2%
24	1	6.2%
25	4	25.0%
26	2	12.5%
30	2	12.5%
31	1	6.2%

Value	Count	Frequency (%)
31	1	6.2%
30	2	12.5%
26	2	12.5%
25	4	25.0%
24	1	6.2%
23	1	6.2%
22	1	6.2%
21	1	6.2%
19	2	12.5%
16	1	6.2%

wars
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	62.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14

Minimum	2
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	7.5
median	17
Q3	19.25
95-th percentile	20.25
Maximum	21
Range	19
Interquartile range (IQR)	11.75

Descriptive statistics

Standard deviation	6.582805886
Coefficient of variation (CV)	0.4702004204
Kurtosis	-1.406969764
Mean	14
Median Absolute Deviation (MAD)	3
Skewness	-0.5785301457
Sum	224
Variance	43.33333333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	3	18.8%
20	3	18.8%
19	3	18.8%
2	1	6.2%
9	1	6.2%
8	1	6.2%
18	1	6.2%
16	1	6.2%
15	1	6.2%
21	1	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	6.2%
6	3	18.8%
8	1	6.2%
9	1	6.2%
15	1	6.2%
16	1	6.2%
18	1	6.2%
19	3	18.8%
20	3	18.8%
21	1	6.2%

Value	Count	Frequency (%)
21	1	6.2%
20	3	18.8%
19	3	18.8%
18	1	6.2%
16	1	6.2%
15	1	6.2%
9	1	6.2%
8	1	6.2%
6	3	18.8%
2	1	6.2%

total
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	368

Minimum	274
Maximum	418
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	274
5-th percentile	313
Q1	356.75
median	369
Q3	391.25
95-th percentile	412
Maximum	418
Range	144
Interquartile range (IQR)	34.5

Descriptive statistics

Standard deviation	35.55090247
Coefficient of variation (CV)	0.09660571324
Kurtosis	2.194012998
Mean	368
Median Absolute Deviation (MAD)	17
Skewness	-1.051035019
Sum	5888
Variance	1263.866667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
274	1	6.2%
326	1	6.2%
344	1	6.2%
353	1	6.2%
368	1	6.2%
370	1	6.2%
387	1	6.2%
405	1	6.2%
418	1	6.2%
410	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
274	1	6.2%
326	1	6.2%
344	1	6.2%
353	1	6.2%
358	1	6.2%
359	1	6.2%
365	1	6.2%
368	1	6.2%
370	1	6.2%
371	1	6.2%

Value	Count	Frequency (%)
418	1	6.2%
410	1	6.2%
405	1	6.2%
404	1	6.2%
387	1	6.2%
376	1	6.2%
371	1	6.2%
370	1	6.2%
368	1	6.2%
365	1	6.2%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

0,731707164	1
3,816441913	1
2,976455131	1
0,959879134	1
-5,693836336	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.125
Min length	11

Characters and Unicode

Total characters	178
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	0,731707164
2nd row	3,816441913
3rd row	2,976455131
4th row	0,959879134
5th row	-5,693836336

Common Values

Value	Count	Frequency (%)
0,731707164	1	6.2%
3,816441913	1	6.2%
2,976455131	1	6.2%
0,959879134	1	6.2%
-5,693836336	1	6.2%
4,179882499	1	6.2%
3,925192705	1	6.2%
0,418497594	1	6.2%
0,437591303	1	6.2%
2,209543431	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0,731707164	1	6.2%
3,816441913	1	6.2%
2,976455131	1	6.2%
0,959879134	1	6.2%
5,693836336	1	6.2%
4,179882499	1	6.2%
3,925192705	1	6.2%
0,418497594	1	6.2%
0,437591303	1	6.2%
2,209543431	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	24	13.5%
9	22	12.4%
4	19	10.7%
3	17	9.6%
,	16	9.0%
5	15	8.4%
2	14	7.9%
0	13	7.3%
7	12	6.7%
6	12	6.7%
Other values (2)	14	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	89.9%
Other Punctuation	16	9.0%
Dash Punctuation	2	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	24	15.0%
9	22	13.8%
4	19	11.9%
3	17	10.6%
5	15	9.4%
2	14	8.8%
0	13	8.1%
7	12	7.5%
6	12	7.5%
8	12	7.5%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	24	13.5%
9	22	12.4%
4	19	10.7%
3	17	9.6%
,	16	9.0%
5	15	8.4%
2	14	7.9%
0	13	7.3%
7	12	6.7%
6	12	6.7%
Other values (2)	14	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	24	13.5%
9	22	12.4%
4	19	10.7%
3	17	9.6%
,	16	9.0%
5	15	8.4%
2	14	7.9%
0	13	7.3%
7	12	6.7%
6	12	6.7%
Other values (2)	14	7.9%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,66321998	1
2,449323601	1
2,424736243	1
0,25494596	1
-2,873313828	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11
Min length	10

Characters and Unicode

Total characters	176
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,66321998
2nd row	2,449323601
3rd row	2,424736243
4th row	0,25494596
5th row	-2,873313828

Common Values

Value	Count	Frequency (%)
1,66321998	1	6.2%
2,449323601	1	6.2%
2,424736243	1	6.2%
0,25494596	1	6.2%
-2,873313828	1	6.2%
1,949437623	1	6.2%
2,192700633	1	6.2%
0,313134751	1	6.2%
0,576326675	1	6.2%
0,956183052	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,66321998	1	6.2%
2,449323601	1	6.2%
2,424736243	1	6.2%
0,25494596	1	6.2%
2,873313828	1	6.2%
1,949437623	1	6.2%
2,192700633	1	6.2%
0,313134751	1	6.2%
0,576326675	1	6.2%
0,956183052	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	23	13.1%
2	20	11.4%
3	19	10.8%
4	19	10.8%
,	16	9.1%
6	16	9.1%
9	16	9.1%
0	13	7.4%
5	12	6.8%
7	11	6.2%
Other values (2)	11	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	89.8%
Other Punctuation	16	9.1%
Dash Punctuation	2	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	23	14.6%
2	20	12.7%
3	19	12.0%
4	19	12.0%
6	16	10.1%
9	16	10.1%
0	13	8.2%
5	12	7.6%
7	11	7.0%
8	9	5.7%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	23	13.1%
2	20	11.4%
3	19	10.8%
4	19	10.8%
,	16	9.1%
6	16	9.1%
9	16	9.1%
0	13	7.4%
5	12	6.8%
7	11	6.2%
Other values (2)	11	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	23	13.1%
2	20	11.4%
3	19	10.8%
4	19	10.8%
,	16	9.1%
6	16	9.1%
9	16	9.1%
0	13	7.4%
5	12	6.8%
7	11	6.2%
Other values (2)	11	6.2%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

0,817848974	1
1,790639681	1
1,48707298	1
-0,962012841	1
-5,280937208	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.1875
Min length	10

Characters and Unicode

Total characters	179
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	0,817848974
2nd row	1,790639681
3rd row	1,48707298
4th row	-0,962012841
5th row	-5,280937208

Common Values

Value	Count	Frequency (%)
0,817848974	1	6.2%
1,790639681	1	6.2%
1,48707298	1	6.2%
-0,962012841	1	6.2%
-5,280937208	1	6.2%
1,713295839	1	6.2%
0,707333347	1	6.2%
-2,980905768	1	6.2%
-1,841065451	1	6.2%
-0,004547542	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0,817848974	1	6.2%
1,790639681	1	6.2%
1,48707298	1	6.2%
0,962012841	1	6.2%
5,280937208	1	6.2%
1,713295839	1	6.2%
0,707333347	1	6.2%
2,980905768	1	6.2%
1,841065451	1	6.2%
0,004547542	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
0	22	12.3%
8	19	10.6%
1	18	10.1%
7	17	9.5%
9	17	9.5%
,	16	8.9%
4	16	8.9%
2	15	8.4%
3	13	7.3%
5	12	6.7%
Other values (2)	14	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157	87.7%
Other Punctuation	16	8.9%
Dash Punctuation	6	3.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	22	14.0%
8	19	12.1%
1	18	11.5%
7	17	10.8%
9	17	10.8%
4	16	10.2%
2	15	9.6%
3	13	8.3%
5	12	7.6%
6	8	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	179	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	22	12.3%
8	19	10.6%
1	18	10.1%
7	17	9.5%
9	17	9.5%
,	16	8.9%
4	16	8.9%
2	15	8.4%
3	13	7.3%
5	12	6.7%
Other values (2)	14	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	22	12.3%
8	19	10.6%
1	18	10.1%
7	17	9.5%
9	17	9.5%
,	16	8.9%
4	16	8.9%
2	15	8.4%
3	13	7.3%
5	12	6.7%
Other values (2)	14	7.8%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,803900872	1
1,372350128	1
1,483969412	1
-1,224289001	1
-5,693236359	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.1875
Min length	11

Characters and Unicode

Total characters	179
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,803900872
2nd row	1,372350128
3rd row	1,483969412
4th row	-1,224289001
5th row	-5,693236359

Common Values

Value	Count	Frequency (%)
1,803900872	1	6.2%
1,372350128	1	6.2%
1,483969412	1	6.2%
-1,224289001	1	6.2%
-5,693236359	1	6.2%
4,097917919	1	6.2%
0,023809524	1	6.2%
1,374750999	1	6.2%
2,005100177	1	6.2%
0,296205514	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,803900872	1	6.2%
1,372350128	1	6.2%
1,483969412	1	6.2%
1,224289001	1	6.2%
5,693236359	1	6.2%
4,097917919	1	6.2%
0,023809524	1	6.2%
1,374750999	1	6.2%
2,005100177	1	6.2%
0,296205514	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
0	24	13.4%
5	20	11.2%
2	19	10.6%
1	18	10.1%
,	16	8.9%
9	16	8.9%
7	15	8.4%
3	13	7.3%
8	12	6.7%
6	12	6.7%
Other values (2)	14	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	89.4%
Other Punctuation	16	8.9%
Dash Punctuation	3	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	24	15.0%
5	20	12.5%
2	19	11.9%
1	18	11.2%
9	16	10.0%
7	15	9.4%
3	13	8.1%
8	12	7.5%
6	12	7.5%
4	11	6.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	179	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	24	13.4%
5	20	11.2%
2	19	10.6%
1	18	10.1%
,	16	8.9%
9	16	8.9%
7	15	8.4%
3	13	7.3%
8	12	6.7%
6	12	6.7%
Other values (2)	14	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	24	13.4%
5	20	11.2%
2	19	10.6%
1	18	10.1%
,	16	8.9%
9	16	8.9%
7	15	8.4%
3	13	7.3%
8	12	6.7%
6	12	6.7%
Other values (2)	14	7.8%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

4,995860869	1
4,165817627	1
6,868608857	1
1,007622695	1
-2,928400167	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.0625
Min length	10

Characters and Unicode

Total characters	177
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	4,995860869
2nd row	4,165817627
3rd row	6,868608857
4th row	1,007622695
5th row	-2,928400167

Common Values

Value	Count	Frequency (%)
4,995860869	1	6.2%
4,165817627	1	6.2%
6,868608857	1	6.2%
1,007622695	1	6.2%
-2,928400167	1	6.2%
3,08949462	1	6.2%
3,146881372	1	6.2%
1,762222549	1	6.2%
2,329122506	1	6.2%
2,870036075	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4,995860869	1	6.2%
4,165817627	1	6.2%
6,868608857	1	6.2%
1,007622695	1	6.2%
2,928400167	1	6.2%
3,08949462	1	6.2%
3,146881372	1	6.2%
1,762222549	1	6.2%
2,329122506	1	6.2%
2,870036075	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	23	13.0%
0	21	11.9%
6	18	10.2%
8	17	9.6%
,	16	9.0%
4	14	7.9%
9	14	7.9%
7	14	7.9%
5	13	7.3%
1	13	7.3%
Other values (2)	14	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	89.8%
Other Punctuation	16	9.0%
Dash Punctuation	2	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	23	14.5%
0	21	13.2%
6	18	11.3%
8	17	10.7%
4	14	8.8%
9	14	8.8%
7	14	8.8%
5	13	8.2%
1	13	8.2%
3	12	7.5%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	177	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	23	13.0%
0	21	11.9%
6	18	10.2%
8	17	9.6%
,	16	9.0%
4	14	7.9%
9	14	7.9%
7	14	7.9%
5	13	7.3%
1	13	7.3%
Other values (2)	14	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	177	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	23	13.0%
0	21	11.9%
6	18	10.2%
8	17	9.6%
,	16	9.0%
4	14	7.9%
9	14	7.9%
7	14	7.9%
5	13	7.3%
1	13	7.3%
Other values (2)	14	7.9%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

6,399965448	1
8,200068255	1
8,499977768	1
5,199969265	1
-7,799993913	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	10.625
Min length	3

Characters and Unicode

Total characters	170
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	6,399965448
2nd row	8,200068255
3rd row	8,499977768
4th row	5,199969265
5th row	-7,799993913

Common Values

Value	Count	Frequency (%)
6,399965448	1	6.2%
8,200068255	1	6.2%
8,499977768	1	6.2%
5,199969265	1	6.2%
-7,799993913	1	6.2%
4,5	1	6.2%
4,300029186	1	6.2%
4,024086157	1	6.2%
1,755422149	1	6.2%
0,736267221	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
6,399965448	1	6.2%
8,200068255	1	6.2%
8,499977768	1	6.2%
5,199969265	1	6.2%
7,799993913	1	6.2%
4,5	1	6.2%
4,300029186	1	6.2%
4,024086157	1	6.2%
1,755422149	1	6.2%
0,736267221	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
9	27	15.9%
2	22	12.9%
,	16	9.4%
0	16	9.4%
7	16	9.4%
6	13	7.6%
1	13	7.6%
5	12	7.1%
4	12	7.1%
8	11	6.5%
Other values (2)	12	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	151	88.8%
Other Punctuation	16	9.4%
Dash Punctuation	3	1.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	27	17.9%
2	22	14.6%
0	16	10.6%
7	16	10.6%
6	13	8.6%
1	13	8.6%
5	12	7.9%
4	12	7.9%
8	11	7.3%
3	9	6.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	170	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	27	15.9%
2	22	12.9%
,	16	9.4%
0	16	9.4%
7	16	9.4%
6	13	7.6%
1	13	7.6%
5	12	7.1%
4	12	7.1%
8	11	6.5%
Other values (2)	12	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	27	15.9%
2	22	12.9%
,	16	9.4%
0	16	9.4%
7	16	9.4%
6	13	7.6%
1	13	7.6%
5	12	7.1%
4	12	7.1%
8	11	6.5%
Other values (2)	12	7.1%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

3,513213799	1
2,854972294	1
1,876171454	1
-0,136579803	1
-2,536757067	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.0625
Min length	10

Characters and Unicode

Total characters	177
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	3,513213799
2nd row	2,854972294
3rd row	1,876171454
4th row	-0,136579803
5th row	-2,536757067

Common Values

Value	Count	Frequency (%)
3,513213799	1	6.2%
2,854972294	1	6.2%
1,876171454	1	6.2%
-0,136579803	1	6.2%
-2,536757067	1	6.2%
2,56376656	1	6.2%
1,550835505	1	6.2%
2,249545852	1	6.2%
1,842081071	1	6.2%
2,525973446	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3,513213799	1	6.2%
2,854972294	1	6.2%
1,876171454	1	6.2%
0,136579803	1	6.2%
2,536757067	1	6.2%
2,56376656	1	6.2%
1,550835505	1	6.2%
2,249545852	1	6.2%
1,842081071	1	6.2%
2,525973446	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
5	27	15.3%
1	19	10.7%
2	18	10.2%
7	18	10.2%
3	16	9.0%
,	16	9.0%
4	16	9.0%
6	16	9.0%
9	12	6.8%
0	9	5.1%
Other values (2)	10	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	89.3%
Other Punctuation	16	9.0%
Dash Punctuation	3	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	27	17.1%
1	19	12.0%
2	18	11.4%
7	18	11.4%
3	16	10.1%
4	16	10.1%
6	16	10.1%
9	12	7.6%
0	9	5.7%
8	7	4.4%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	177	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	27	15.3%
1	19	10.7%
2	18	10.2%
7	18	10.2%
3	16	9.0%
,	16	9.0%
4	16	9.0%
6	16	9.0%
9	12	6.8%
0	9	5.1%
Other values (2)	10	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	177	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	27	15.3%
1	19	10.7%
2	18	10.2%
7	18	10.2%
3	16	9.0%
,	16	9.0%
4	16	9.0%
6	16	9.0%
9	12	6.8%
0	9	5.1%
Other values (2)	10	5.6%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,59328001	1
2,584104677	1
2,269486875	1
-0,239638085	1
-4,247356266	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.125
Min length	10

Characters and Unicode

Total characters	178
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,59328001
2nd row	2,584104677
3rd row	2,269486875
4th row	-0,239638085
5th row	-4,247356266

Common Values

Value	Count	Frequency (%)
2,59328001	1	6.2%
2,584104677	1	6.2%
2,269486875	1	6.2%
-0,239638085	1	6.2%
-4,247356266	1	6.2%
2,131438198	1	6.2%
1,457563391	1	6.2%
1,469887521	1	6.2%
1,890018342	1	6.2%
2,991164814	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,59328001	1	6.2%
2,584104677	1	6.2%
2,269486875	1	6.2%
0,239638085	1	6.2%
4,247356266	1	6.2%
2,131438198	1	6.2%
1,457563391	1	6.2%
1,469887521	1	6.2%
1,890018342	1	6.2%
2,991164814	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
6	21	11.8%
1	20	11.2%
2	19	10.7%
9	18	10.1%
4	17	9.6%
,	16	9.0%
3	16	9.0%
8	14	7.9%
5	13	7.3%
0	12	6.7%
Other values (2)	12	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	89.3%
Other Punctuation	16	9.0%
Dash Punctuation	3	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	21	13.2%
1	20	12.6%
2	19	11.9%
9	18	11.3%
4	17	10.7%
3	16	10.1%
8	14	8.8%
5	13	8.2%
0	12	7.5%
7	9	5.7%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	21	11.8%
1	20	11.2%
2	19	10.7%
9	18	10.1%
4	17	9.6%
,	16	9.0%
3	16	9.0%
8	14	7.9%
5	13	7.3%
0	12	6.7%
Other values (2)	12	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	21	11.8%
1	20	11.2%
2	19	10.7%
9	18	10.1%
4	17	9.6%
,	16	9.0%
3	16	9.0%
8	14	7.9%
5	13	7.3%
0	12	6.7%
Other values (2)	12	6.7%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

3,202132062	1
3,961988709	1
6,069870607	1
5,094195448	1
-0,125812003	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.125
Min length	10

Characters and Unicode

Total characters	178
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	3,202132062
2nd row	3,961988709
3rd row	6,069870607
4th row	5,094195448
5th row	-0,125812003

Common Values

Value	Count	Frequency (%)
3,202132062	1	6.2%
3,961988709	1	6.2%
6,069870607	1	6.2%
5,094195448	1	6.2%
-0,125812003	1	6.2%
7,528225818	1	6.2%
3,974423079	1	6.2%
1,921175985	1	6.2%
3,00482267	1	6.2%
0,50395574	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3,202132062	1	6.2%
3,961988709	1	6.2%
6,069870607	1	6.2%
5,094195448	1	6.2%
0,125812003	1	6.2%
7,528225818	1	6.2%
3,974423079	1	6.2%
1,921175985	1	6.2%
3,00482267	1	6.2%
0,50395574	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
0	19	10.7%
2	18	10.1%
1	17	9.6%
9	17	9.6%
5	17	9.6%
3	16	9.0%
,	16	9.0%
6	14	7.9%
8	14	7.9%
7	14	7.9%
Other values (2)	16	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	88.8%
Other Punctuation	16	9.0%
Dash Punctuation	4	2.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19	12.0%
2	18	11.4%
1	17	10.8%
9	17	10.8%
5	17	10.8%
3	16	10.1%
6	14	8.9%
8	14	8.9%
7	14	8.9%
4	12	7.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19	10.7%
2	18	10.1%
1	17	9.6%
9	17	9.6%
5	17	9.6%
3	16	9.0%
,	16	9.0%
6	14	7.9%
8	14	7.9%
7	14	7.9%
Other values (2)	16	9.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	19	10.7%
2	18	10.1%
1	17	9.6%
9	17	9.6%
5	17	9.6%
3	16	9.0%
,	16	9.0%
6	14	7.9%
8	14	7.9%
7	14	7.9%
Other values (2)	16	9.0%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

7,923430621	1
8,060732573	1
7,660815065	1
3,08669806	1
7,861888833	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11
Min length	10

Characters and Unicode

Total characters	176
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	7,923430621
2nd row	8,060732573
3rd row	7,660815065
4th row	3,08669806
5th row	7,861888833

Common Values

Value	Count	Frequency (%)
7,923430621	1	6.2%
8,060732573	1	6.2%
7,660815065	1	6.2%
3,08669806	1	6.2%
7,861888833	1	6.2%
8,497584702	1	6.2%
5,241315001	1	6.2%
5,456388753	1	6.2%
6,386106401	1	6.2%
7,410227605	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
7,923430621	1	6.2%
8,060732573	1	6.2%
7,660815065	1	6.2%
3,08669806	1	6.2%
7,861888833	1	6.2%
8,497584702	1	6.2%
5,241315001	1	6.2%
5,456388753	1	6.2%
6,386106401	1	6.2%
7,410227605	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
8	20	11.4%
5	20	11.4%
6	19	10.8%
0	18	10.2%
7	17	9.7%
,	16	9.1%
3	16	9.1%
1	15	8.5%
2	13	7.4%
4	12	6.8%
Other values (2)	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.3%
Other Punctuation	16	9.1%
Dash Punctuation	1	0.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	20	12.6%
5	20	12.6%
6	19	11.9%
0	18	11.3%
7	17	10.7%
3	16	10.1%
1	15	9.4%
2	13	8.2%
4	12	7.5%
9	9	5.7%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	20	11.4%
5	20	11.4%
6	19	10.8%
0	18	10.2%
7	17	9.7%
,	16	9.1%
3	16	9.1%
1	15	8.5%
2	13	7.4%
4	12	6.8%
Other values (2)	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	20	11.4%
5	20	11.4%
6	19	10.8%
0	18	10.2%
7	17	9.7%
,	16	9.1%
3	16	9.1%
1	15	8.5%
2	13	7.4%
4	12	6.8%
Other values (2)	10	5.7%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,307807066	1
4,495077894	1
2,291445714	1
1,143584587	1
-5,285744137	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.125
Min length	10

Characters and Unicode

Total characters	178
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,307807066
2nd row	4,495077894
3rd row	2,291445714
4th row	1,143584587
5th row	-5,285744137

Common Values

Value	Count	Frequency (%)
2,307807066	1	6.2%
4,495077894	1	6.2%
2,291445714	1	6.2%
1,143584587	1	6.2%
-5,285744137	1	6.2%
5,118118143	1	6.2%
3,66300793	1	6.2%
3,642322679	1	6.2%
1,354091962	1	6.2%
2,849773255	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,307807066	1	6.2%
4,495077894	1	6.2%
2,291445714	1	6.2%
1,143584587	1	6.2%
5,285744137	1	6.2%
5,118118143	1	6.2%
3,66300793	1	6.2%
3,642322679	1	6.2%
1,354091962	1	6.2%
2,849773255	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	20	11.2%
2	19	10.7%
3	19	10.7%
4	19	10.7%
5	19	10.7%
9	17	9.6%
,	16	9.0%
7	14	7.9%
0	11	6.2%
6	11	6.2%
Other values (2)	13	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	89.3%
Other Punctuation	16	9.0%
Dash Punctuation	3	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	20	12.6%
2	19	11.9%
3	19	11.9%
4	19	11.9%
5	19	11.9%
9	17	10.7%
7	14	8.8%
0	11	6.9%
6	11	6.9%
8	10	6.3%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	20	11.2%
2	19	10.7%
3	19	10.7%
4	19	10.7%
5	19	10.7%
9	17	9.6%
,	16	9.0%
7	14	7.9%
0	11	6.2%
6	11	6.2%
Other values (2)	13	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	20	11.2%
2	19	10.7%
3	19	10.7%
4	19	10.7%
5	19	10.7%
9	17	9.6%
,	16	9.0%
7	14	7.9%
0	11	6.2%
6	11	6.2%
Other values (2)	13	7.3%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

5,277051973	1
5,603806459	1
5,360474054	1
3,191043886	1
-1,538089135	1
Other values (11)	11

Length

Max length	12
Median length	11
Mean length	11.125
Min length	11

Characters and Unicode

Total characters	178
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	5,277051973
2nd row	5,603806459
3rd row	5,360474054
4th row	3,191043886
5th row	-1,538089135

Common Values

Value	Count	Frequency (%)
5,277051973	1	6.2%
5,603806459	1	6.2%
5,360474054	1	6.2%
3,191043886	1	6.2%
-1,538089135	1	6.2%
3,039732881	1	6.2%
3,168556279	1	6.2%
2,396232385	1	6.2%
2,485468008	1	6.2%
1,413826452	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5,277051973	1	6.2%
5,603806459	1	6.2%
5,360474054	1	6.2%
3,191043886	1	6.2%
1,538089135	1	6.2%
3,039732881	1	6.2%
3,168556279	1	6.2%
2,396232385	1	6.2%
2,485468008	1	6.2%
1,413826452	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
3	23	12.9%
5	18	10.1%
1	18	10.1%
6	17	9.6%
8	17	9.6%
,	16	9.0%
2	15	8.4%
0	14	7.9%
4	14	7.9%
7	13	7.3%
Other values (2)	13	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	89.9%
Other Punctuation	16	9.0%
Dash Punctuation	2	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	23	14.4%
5	18	11.2%
1	18	11.2%
6	17	10.6%
8	17	10.6%
2	15	9.4%
0	14	8.8%
4	14	8.8%
7	13	8.1%
9	11	6.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	23	12.9%
5	18	10.1%
1	18	10.1%
6	17	9.6%
8	17	9.6%
,	16	9.0%
2	15	8.4%
0	14	7.9%
4	14	7.9%
7	13	7.3%
Other values (2)	13	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	23	12.9%
5	18	10.1%
1	18	10.1%
6	17	9.6%
8	17	9.6%
,	16	9.0%
2	15	8.4%
0	14	7.9%
4	14	7.9%
7	13	7.3%
Other values (2)	13	7.3%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

11,39459181	1
12,72095567	1
14,23086093	1
9,65067892	1
9,398725632	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	11,39459181
2nd row	12,72095567
3rd row	14,23086093
4th row	9,65067892
5th row	9,398725632

Common Values

Value	Count	Frequency (%)
11,39459181	1	6.2%
12,72095567	1	6.2%
14,23086093	1	6.2%
9,65067892	1	6.2%
9,398725632	1	6.2%
10,63587106	1	6.2%
9,550832179	1	6.2%
7,863736449	1	6.2%
7,766150098	1	6.2%
7,425763656	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
11,39459181	1	6.2%
12,72095567	1	6.2%
14,23086093	1	6.2%
9,65067892	1	6.2%
9,398725632	1	6.2%
10,63587106	1	6.2%
9,550832179	1	6.2%
7,863736449	1	6.2%
7,766150098	1	6.2%
7,425763656	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
7	23	13.1%
3	19	10.9%
9	18	10.3%
6	18	10.3%
,	16	9.1%
5	15	8.6%
2	15	8.6%
1	13	7.4%
8	13	7.4%
0	13	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	23	14.5%
3	19	11.9%
9	18	11.3%
6	18	11.3%
5	15	9.4%
2	15	9.4%
1	13	8.2%
8	13	8.2%
0	13	8.2%
4	12	7.5%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	23	13.1%
3	19	10.9%
9	18	10.3%
6	18	10.3%
,	16	9.1%
5	15	8.6%
2	15	8.6%
1	13	7.4%
8	13	7.4%
0	13	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	23	13.1%
3	19	10.9%
9	18	10.3%
6	18	10.3%
,	16	9.1%
5	15	8.6%
2	15	8.6%
1	13	7.4%
8	13	7.4%
0	13	7.4%

GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

4,048174008	1
4,495625664	1
4,438754307	1
2,000830512	1
-1,307257	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	9

Characters and Unicode

Total characters	174
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	4,048174008
2nd row	4,495625664
3rd row	4,438754307
4th row	2,000830512
5th row	-1,307257

Common Values

Value	Count	Frequency (%)
4,048174008	1	6.2%
4,495625664	1	6.2%
4,438754307	1	6.2%
2,000830512	1	6.2%
-1,307257	1	6.2%
4,494694569	1	6.2%
3,339617886	1	6.2%
2,672818411	1	6.2%
2,844651633	1	6.2%
3,117752817	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4,048174008	1	6.2%
4,495625664	1	6.2%
4,438754307	1	6.2%
2,000830512	1	6.2%
1,307257	1	6.2%
4,494694569	1	6.2%
3,339617886	1	6.2%
2,672818411	1	6.2%
2,844651633	1	6.2%
3,117752817	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
4	25	14.4%
3	22	12.6%
8	18	10.3%
,	16	9.2%
2	16	9.2%
6	15	8.6%
0	14	8.0%
1	14	8.0%
7	13	7.5%
5	11	6.3%
Other values (2)	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	156	89.7%
Other Punctuation	16	9.2%
Dash Punctuation	2	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	25	16.0%
3	22	14.1%
8	18	11.5%
2	16	10.3%
6	15	9.6%
0	14	9.0%
1	14	9.0%
7	13	8.3%
5	11	7.1%
9	8	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	25	14.4%
3	22	12.6%
8	18	10.3%
,	16	9.2%
2	16	9.2%
6	15	8.6%
0	14	8.0%
1	14	8.0%
7	13	7.5%
5	11	6.3%
Other values (2)	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	25	14.4%
3	22	12.6%
8	18	10.3%
,	16	9.2%
2	16	9.2%
6	15	8.6%
0	14	8.0%
1	14	8.0%
7	13	7.5%
5	11	6.3%
Other values (2)	10	5.7%

GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,84686E+12	1
2,9947E+12	1
3,42558E+12	1
3,74526E+12	1
3,41126E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,84686E+12
2nd row	2,9947E+12
3rd row	3,42558E+12
4th row	3,74526E+12
5th row	3,41126E+12

Common Values

Value	Count	Frequency (%)
2,84686E+12	1	6.2%
2,9947E+12	1	6.2%
3,42558E+12	1	6.2%
3,74526E+12	1	6.2%
3,41126E+12	1	6.2%
3,39967E+12	1	6.2%
3,74931E+12	1	6.2%
3,52714E+12	1	6.2%
3,7338E+12	1	6.2%
3,88909E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,84686e+12	1	6.2%
2,9947e+12	1	6.2%
3,42558e+12	1	6.2%
3,74526e+12	1	6.2%
3,41126e+12	1	6.2%
3,39967e+12	1	6.2%
3,74931e+12	1	6.2%
3,52714e+12	1	6.2%
3,7338e+12	1	6.2%
3,88909e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	23	13.2%
1	21	12.1%
3	21	12.1%
,	16	9.2%
E	16	9.2%
+	16	9.2%
8	12	6.9%
9	12	6.9%
4	10	5.7%
7	9	5.2%
Other values (3)	18	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	126	72.4%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	23	18.3%
1	21	16.7%
3	21	16.7%
8	12	9.5%
9	12	9.5%
4	10	7.9%
7	9	7.1%
6	8	6.3%
5	8	6.3%
0	2	1.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	23	14.6%
1	21	13.3%
3	21	13.3%
,	16	10.1%
+	16	10.1%
8	12	7.6%
9	12	7.6%
4	10	6.3%
7	9	5.7%
6	8	5.1%
Other values (2)	10	6.3%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	23	13.2%
1	21	12.1%
3	21	12.1%
,	16	9.2%
E	16	9.2%
+	16	9.2%
8	12	6.9%
9	12	6.9%
4	10	5.7%
7	9	5.2%
Other values (3)	18	10.3%

GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,19695E+12	1
2,32054E+12	1
2,66059E+12	1
2,9303E+12	1
2,70089E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,19695E+12
2nd row	2,32054E+12
3rd row	2,66059E+12
4th row	2,9303E+12
5th row	2,70089E+12

Common Values

Value	Count	Frequency (%)
2,19695E+12	1	6.2%
2,32054E+12	1	6.2%
2,66059E+12	1	6.2%
2,9303E+12	1	6.2%
2,70089E+12	1	6.2%
2,64519E+12	1	6.2%
2,86516E+12	1	6.2%
2,68367E+12	1	6.2%
2,81188E+12	1	6.2%
2,85596E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,19695e+12	1	6.2%
2,32054e+12	1	6.2%
2,66059e+12	1	6.2%
2,9303e+12	1	6.2%
2,70089e+12	1	6.2%
2,64519e+12	1	6.2%
2,86516e+12	1	6.2%
2,68367e+12	1	6.2%
2,81188e+12	1	6.2%
2,85596e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	36	20.6%
1	23	13.1%
,	16	9.1%
E	16	9.1%
+	16	9.1%
9	13	7.4%
6	12	6.9%
5	10	5.7%
8	9	5.1%
3	7	4.0%
Other values (3)	17	9.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127	72.6%
Other Punctuation	16	9.1%
Uppercase Letter	16	9.1%
Math Symbol	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	36	28.3%
1	23	18.1%
9	13	10.2%
6	12	9.4%
5	10	7.9%
8	9	7.1%
3	7	5.5%
0	7	5.5%
7	6	4.7%
4	4	3.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159	90.9%
Latin	16	9.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	36	22.6%
1	23	14.5%
,	16	10.1%
+	16	10.1%
9	13	8.2%
6	12	7.5%
5	10	6.3%
8	9	5.7%
3	7	4.4%
0	7	4.4%
Other values (2)	10	6.3%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	36	20.6%
1	23	13.1%
,	16	9.1%
E	16	9.1%
+	16	9.1%
9	13	7.4%
6	12	6.9%
5	10	5.7%
8	9	5.1%
3	7	4.0%
Other values (3)	17	9.7%

GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,85822E+12	1
1,94955E+12	1
2,2131E+12	1
2,40866E+12	1
2,19993E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	10

Characters and Unicode

Total characters	173
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,85822E+12
2nd row	1,94955E+12
3rd row	2,2131E+12
4th row	2,40866E+12
5th row	2,19993E+12

Common Values

Value	Count	Frequency (%)
1,85822E+12	1	6.2%
1,94955E+12	1	6.2%
2,2131E+12	1	6.2%
2,40866E+12	1	6.2%
2,19993E+12	1	6.2%
2,1361E+12	1	6.2%
2,29499E+12	1	6.2%
2,08696E+12	1	6.2%
2,14192E+12	1	6.2%
2,16201E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,85822e+12	1	6.2%
1,94955e+12	1	6.2%
2,2131e+12	1	6.2%
2,40866e+12	1	6.2%
2,19993e+12	1	6.2%
2,1361e+12	1	6.2%
2,29499e+12	1	6.2%
2,08696e+12	1	6.2%
2,14192e+12	1	6.2%
2,16201e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	34	19.7%
2	32	18.5%
,	16	9.2%
E	16	9.2%
+	16	9.2%
9	14	8.1%
8	11	6.4%
6	9	5.2%
0	7	4.0%
3	6	3.5%
Other values (3)	12	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	125	72.3%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34	27.2%
2	32	25.6%
9	14	11.2%
8	11	8.8%
6	9	7.2%
0	7	5.6%
3	6	4.8%
4	5	4.0%
7	4	3.2%
5	3	2.4%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	157	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	34	21.7%
2	32	20.4%
,	16	10.2%
+	16	10.2%
9	14	8.9%
8	11	7.0%
6	9	5.7%
0	7	4.5%
3	6	3.8%
4	5	3.2%
Other values (2)	7	4.5%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	34	19.7%
2	32	18.5%
,	16	9.2%
E	16	9.2%
+	16	9.2%
9	14	8.1%
8	11	6.4%
6	9	5.2%
0	7	4.0%
3	6	3.5%
Other values (3)	12	6.9%

GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

4,83147E+12	1
4,60166E+12	1
4,57975E+12	1
5,10668E+12	1
5,28949E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	176
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	4,83147E+12
2nd row	4,60166E+12
3rd row	4,57975E+12
4th row	5,10668E+12
5th row	5,28949E+12

Common Values

Value	Count	Frequency (%)
4,83147E+12	1	6.2%
4,60166E+12	1	6.2%
4,57975E+12	1	6.2%
5,10668E+12	1	6.2%
5,28949E+12	1	6.2%
5,75907E+12	1	6.2%
6,23315E+12	1	6.2%
6,27236E+12	1	6.2%
5,21233E+12	1	6.2%
4,89699E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4,83147e+12	1	6.2%
4,60166e+12	1	6.2%
4,57975e+12	1	6.2%
5,10668e+12	1	6.2%
5,28949e+12	1	6.2%
5,75907e+12	1	6.2%
6,23315e+12	1	6.2%
6,27236e+12	1	6.2%
5,21233e+12	1	6.2%
4,89699e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	22	12.5%
2	22	12.5%
,	16	9.1%
E	16	9.1%
+	16	9.1%
4	13	7.4%
5	13	7.4%
6	12	6.8%
3	10	5.7%
9	10	5.7%
Other values (3)	26	14.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128	72.7%
Other Punctuation	16	9.1%
Uppercase Letter	16	9.1%
Math Symbol	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	22	17.2%
2	22	17.2%
4	13	10.2%
5	13	10.2%
6	12	9.4%
3	10	7.8%
9	10	7.8%
8	9	7.0%
7	9	7.0%
0	8	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	160	90.9%
Latin	16	9.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	22	13.8%
2	22	13.8%
,	16	10.0%
+	16	10.0%
4	13	8.1%
5	13	8.1%
6	12	7.5%
3	10	6.2%
9	10	6.2%
8	9	5.6%
Other values (2)	17	10.6%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	22	12.5%
2	22	12.5%
,	16	9.1%
E	16	9.1%
+	16	9.1%
4	13	7.4%
5	13	7.4%
6	12	6.8%
3	10	5.7%
9	10	5.7%
Other values (3)	26	14.8%

GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,17311E+12	1
1,31926E+12	1
1,46882E+12	1
1,55299E+12	1
1,37463E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,17311E+12
2nd row	1,31926E+12
3rd row	1,46882E+12
4th row	1,55299E+12
5th row	1,37463E+12

Common Values

Value	Count	Frequency (%)
1,17311E+12	1	6.2%
1,31926E+12	1	6.2%
1,46882E+12	1	6.2%
1,55299E+12	1	6.2%
1,37463E+12	1	6.2%
1,61734E+12	1	6.2%
1,79333E+12	1	6.2%
1,82837E+12	1	6.2%
1,8466E+12	1	6.2%
1,80575E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,17311e+12	1	6.2%
1,31926e+12	1	6.2%
1,46882e+12	1	6.2%
1,55299e+12	1	6.2%
1,37463e+12	1	6.2%
1,61734e+12	1	6.2%
1,79333e+12	1	6.2%
1,82837e+12	1	6.2%
1,8466e+12	1	6.2%
1,80575e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	38	21.7%
2	26	14.9%
,	16	9.1%
E	16	9.1%
+	16	9.1%
3	11	6.3%
7	10	5.7%
5	10	5.7%
6	9	5.1%
4	8	4.6%
Other values (3)	15	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127	72.6%
Other Punctuation	16	9.1%
Uppercase Letter	16	9.1%
Math Symbol	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	38	29.9%
2	26	20.5%
3	11	8.7%
7	10	7.9%
5	10	7.9%
6	9	7.1%
4	8	6.3%
9	7	5.5%
8	6	4.7%
0	2	1.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159	90.9%
Latin	16	9.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	38	23.9%
2	26	16.4%
,	16	10.1%
+	16	10.1%
3	11	6.9%
7	10	6.3%
5	10	6.3%
6	9	5.7%
4	8	5.0%
9	7	4.4%
Other values (2)	8	5.0%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	38	21.7%
2	26	14.9%
,	16	9.1%
E	16	9.1%
+	16	9.1%
3	11	6.3%
7	10	5.7%
5	10	5.7%
6	9	5.1%
4	8	4.6%
Other values (3)	15	8.6%

GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

7,64017E+11	1
9,89931E+11	1
1,29971E+12	1
1,66085E+12	1
1,22264E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	10

Characters and Unicode

Total characters	173
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	7,64017E+11
2nd row	9,89931E+11
3rd row	1,29971E+12
4th row	1,66085E+12
5th row	1,22264E+12

Common Values

Value	Count	Frequency (%)
7,64017E+11	1	6.2%
9,89931E+11	1	6.2%
1,29971E+12	1	6.2%
1,66085E+12	1	6.2%
1,22264E+12	1	6.2%
1,52492E+12	1	6.2%
2,04593E+12	1	6.2%
2,2083E+12	1	6.2%
2,29247E+12	1	6.2%
2,05924E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
7,64017e+11	1	6.2%
9,89931e+11	1	6.2%
1,29971e+12	1	6.2%
1,66085e+12	1	6.2%
1,22264e+12	1	6.2%
1,52492e+12	1	6.2%
2,04593e+12	1	6.2%
2,2083e+12	1	6.2%
2,29247e+12	1	6.2%
2,05924e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	31	17.9%
2	30	17.3%
,	16	9.2%
E	16	9.2%
+	16	9.2%
4	10	5.8%
9	10	5.8%
7	9	5.2%
6	8	4.6%
3	8	4.6%
Other values (3)	19	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	125	72.3%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31	24.8%
2	30	24.0%
4	10	8.0%
9	10	8.0%
7	9	7.2%
6	8	6.4%
3	8	6.4%
5	8	6.4%
8	6	4.8%
0	5	4.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	157	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31	19.7%
2	30	19.1%
,	16	10.2%
+	16	10.2%
4	10	6.4%
9	10	6.4%
7	9	5.7%
6	8	5.1%
3	8	5.1%
5	8	5.1%
Other values (2)	11	7.0%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31	17.9%
2	30	17.3%
,	16	9.2%
E	16	9.2%
+	16	9.2%
4	10	5.8%
9	10	5.8%
7	9	5.2%
6	8	4.6%
3	8	4.6%
Other values (3)	19	11.0%

GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,30366E+13	1
1,38146E+13	1
1,44519E+13	1
1,47128E+13	1
1,44489E+13	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	10

Characters and Unicode

Total characters	173
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,30366E+13
2nd row	1,38146E+13
3rd row	1,44519E+13
4th row	1,47128E+13
5th row	1,44489E+13

Common Values

Value	Count	Frequency (%)
1,30366E+13	1	6.2%
1,38146E+13	1	6.2%
1,44519E+13	1	6.2%
1,47128E+13	1	6.2%
1,44489E+13	1	6.2%
1,49921E+13	1	6.2%
1,55426E+13	1	6.2%
1,6197E+13	1	6.2%
1,67848E+13	1	6.2%
1,75272E+13	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,30366e+13	1	6.2%
1,38146e+13	1	6.2%
1,44519e+13	1	6.2%
1,47128e+13	1	6.2%
1,44489e+13	1	6.2%
1,49921e+13	1	6.2%
1,55426e+13	1	6.2%
1,6197e+13	1	6.2%
1,67848e+13	1	6.2%
1,75272e+13	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	38	22.0%
3	25	14.5%
,	16	9.2%
E	16	9.2%
+	16	9.2%
4	13	7.5%
2	10	5.8%
8	8	4.6%
9	8	4.6%
6	7	4.0%
Other values (3)	16	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	125	72.3%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	38	30.4%
3	25	20.0%
4	13	10.4%
2	10	8.0%
8	8	6.4%
9	8	6.4%
6	7	5.6%
5	7	5.6%
7	6	4.8%
0	3	2.4%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	157	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	38	24.2%
3	25	15.9%
,	16	10.2%
+	16	10.2%
4	13	8.3%
2	10	6.4%
8	8	5.1%
9	8	5.1%
6	7	4.5%
5	7	4.5%
Other values (2)	9	5.7%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	38	22.0%
3	25	14.5%
,	16	9.2%
E	16	9.2%
+	16	9.2%
4	13	7.5%
2	10	5.8%
8	8	4.6%
9	8	4.6%
6	7	4.0%
Other values (3)	16	9.2%

GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,54483E+12	1
2,71706E+12	1
3,10618E+12	1
2,93888E+12	1
2,4258E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,54483E+12
2nd row	2,71706E+12
3rd row	3,10618E+12
4th row	2,93888E+12
5th row	2,4258E+12

Common Values

Value	Count	Frequency (%)
2,54483E+12	1	6.2%
2,71706E+12	1	6.2%
3,10618E+12	1	6.2%
2,93888E+12	1	6.2%
2,4258E+12	1	6.2%
2,49111E+12	1	6.2%
2,67489E+12	1	6.2%
2,71916E+12	1	6.2%
2,80329E+12	1	6.2%
3,08717E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,54483e+12	1	6.2%
2,71706e+12	1	6.2%
3,10618e+12	1	6.2%
2,93888e+12	1	6.2%
2,4258e+12	1	6.2%
2,49111e+12	1	6.2%
2,67489e+12	1	6.2%
2,71916e+12	1	6.2%
2,80329e+12	1	6.2%
3,08717e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	35	20.1%
1	25	14.4%
,	16	9.2%
E	16	9.2%
+	16	9.2%
8	13	7.5%
7	12	6.9%
9	11	6.3%
0	7	4.0%
6	7	4.0%
Other values (3)	16	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	126	72.4%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	35	27.8%
1	25	19.8%
8	13	10.3%
7	12	9.5%
9	11	8.7%
0	7	5.6%
6	7	5.6%
5	6	4.8%
4	5	4.0%
3	5	4.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	35	22.2%
1	25	15.8%
,	16	10.1%
+	16	10.1%
8	13	8.2%
7	12	7.6%
9	11	7.0%
0	7	4.4%
6	7	4.4%
5	6	3.8%
Other values (2)	10	6.3%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	35	20.1%
1	25	14.4%
,	16	9.2%
E	16	9.2%
+	16	9.2%
8	13	7.5%
7	12	6.9%
9	11	6.3%
0	7	4.0%
6	7	4.0%
Other values (3)	16	9.2%

GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

8,91634E+11	1
1,10763E+12	1
1,39711E+12	1
1,69586E+12	1
1,667E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	9

Characters and Unicode

Total characters	174
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	8,91634E+11
2nd row	1,10763E+12
3rd row	1,39711E+12
4th row	1,69586E+12
5th row	1,667E+12

Common Values

Value	Count	Frequency (%)
8,91634E+11	1	6.2%
1,10763E+12	1	6.2%
1,39711E+12	1	6.2%
1,69586E+12	1	6.2%
1,667E+12	1	6.2%
2,20884E+12	1	6.2%
2,61616E+12	1	6.2%
2,46523E+12	1	6.2%
2,47282E+12	1	6.2%
2,45604E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8,91634e+11	1	6.2%
1,10763e+12	1	6.2%
1,39711e+12	1	6.2%
1,69586e+12	1	6.2%
1,667e+12	1	6.2%
2,20884e+12	1	6.2%
2,61616e+12	1	6.2%
2,46523e+12	1	6.2%
2,47282e+12	1	6.2%
2,45604e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	35	20.1%
2	28	16.1%
,	16	9.2%
E	16	9.2%
+	16	9.2%
6	14	8.0%
4	9	5.2%
8	8	4.6%
7	8	4.6%
9	7	4.0%
Other values (3)	17	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	126	72.4%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	35	27.8%
2	28	22.2%
6	14	11.1%
4	9	7.1%
8	8	6.3%
7	8	6.3%
9	7	5.6%
3	7	5.6%
0	5	4.0%
5	5	4.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	35	22.2%
2	28	17.7%
,	16	10.1%
+	16	10.1%
6	14	8.9%
4	9	5.7%
8	8	5.1%
7	8	5.1%
9	7	4.4%
3	7	4.4%
Other values (2)	10	6.3%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	35	20.1%
2	28	16.1%
,	16	9.2%
E	16	9.2%
+	16	9.2%
6	14	8.0%
4	9	5.2%
8	8	4.6%
7	8	4.6%
9	7	4.0%
Other values (3)	17	9.8%

GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

8,20382E+11	1
9,4026E+11	1
1,21674E+12	1
1,1989E+12	1
1,34189E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.75
Min length	10

Characters and Unicode

Total characters	172
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	8,20382E+11
2nd row	9,4026E+11
3rd row	1,21674E+12
4th row	1,1989E+12
5th row	1,34189E+12

Common Values

Value	Count	Frequency (%)
8,20382E+11	1	6.2%
9,4026E+11	1	6.2%
1,21674E+12	1	6.2%
1,1989E+12	1	6.2%
1,34189E+12	1	6.2%
1,67562E+12	1	6.2%
1,82305E+12	1	6.2%
1,82764E+12	1	6.2%
1,85672E+12	1	6.2%
2,03913E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8,20382e+11	1	6.2%
9,4026e+11	1	6.2%
1,21674e+12	1	6.2%
1,1989e+12	1	6.2%
1,34189e+12	1	6.2%
1,67562e+12	1	6.2%
1,82305e+12	1	6.2%
1,82764e+12	1	6.2%
1,85672e+12	1	6.2%
2,03913e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	34	19.8%
2	31	18.0%
,	16	9.3%
E	16	9.3%
+	16	9.3%
8	9	5.2%
6	9	5.2%
0	8	4.7%
9	7	4.1%
7	7	4.1%
Other values (3)	19	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	124	72.1%
Other Punctuation	16	9.3%
Uppercase Letter	16	9.3%
Math Symbol	16	9.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34	27.4%
2	31	25.0%
8	9	7.3%
6	9	7.3%
0	8	6.5%
9	7	5.6%
7	7	5.6%
5	7	5.6%
3	6	4.8%
4	6	4.8%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	156	90.7%
Latin	16	9.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	34	21.8%
2	31	19.9%
,	16	10.3%
+	16	10.3%
8	9	5.8%
6	9	5.8%
0	8	5.1%
9	7	4.5%
7	7	4.5%
5	7	4.5%
Other values (2)	12	7.7%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	34	19.8%
2	31	18.0%
,	16	9.3%
E	16	9.3%
+	16	9.3%
8	9	5.2%
6	9	5.2%
0	8	4.7%
9	7	4.1%
7	7	4.1%
Other values (3)	19	11.0%

GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

8,77476E+11	1
9,75387E+11	1
1,0527E+12	1
1,10999E+12	1
9,00045E+11	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	8,77476E+11
2nd row	9,75387E+11
3rd row	1,0527E+12
4th row	1,10999E+12
5th row	9,00045E+11

Common Values

Value	Count	Frequency (%)
8,77476E+11	1	6.2%
9,75387E+11	1	6.2%
1,0527E+12	1	6.2%
1,10999E+12	1	6.2%
9,00045E+11	1	6.2%
1,0578E+12	1	6.2%
1,18049E+12	1	6.2%
1,20109E+12	1	6.2%
1,27444E+12	1	6.2%
1,31535E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8,77476e+11	1	6.2%
9,75387e+11	1	6.2%
1,0527e+12	1	6.2%
1,10999e+12	1	6.2%
9,00045e+11	1	6.2%
1,0578e+12	1	6.2%
1,18049e+12	1	6.2%
1,20109e+12	1	6.2%
1,27444e+12	1	6.2%
1,31535e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	41	23.6%
2	21	12.1%
,	16	9.2%
E	16	9.2%
+	16	9.2%
7	12	6.9%
9	11	6.3%
0	11	6.3%
4	9	5.2%
8	7	4.0%
Other values (3)	14	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	126	72.4%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	41	32.5%
2	21	16.7%
7	12	9.5%
9	11	8.7%
0	11	8.7%
4	9	7.1%
8	7	5.6%
5	7	5.6%
3	5	4.0%
6	2	1.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	41	25.9%
2	21	13.3%
,	16	10.1%
+	16	10.1%
7	12	7.6%
9	11	7.0%
0	11	7.0%
4	9	5.7%
8	7	4.4%
5	7	4.4%
Other values (2)	7	4.4%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	41	23.6%
2	21	12.1%
,	16	9.2%
E	16	9.2%
+	16	9.2%
7	12	6.9%
9	11	6.3%
0	11	6.3%
4	9	5.2%
8	7	4.0%
Other values (3)	14	8.0%

GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,88868E+11	1
3,03861E+11	1
3,33075E+11	1
3,16132E+11	1
3,29753E+11	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,88868E+11
2nd row	3,03861E+11
3rd row	3,33075E+11
4th row	3,16132E+11
5th row	3,29753E+11

Common Values

Value	Count	Frequency (%)
2,88868E+11	1	6.2%
3,03861E+11	1	6.2%
3,33075E+11	1	6.2%
3,16132E+11	1	6.2%
3,29753E+11	1	6.2%
4,17365E+11	1	6.2%
4,58202E+11	1	6.2%
4,34401E+11	1	6.2%
4,00886E+11	1	6.2%
3,81199E+11	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,88868e+11	1	6.2%
3,03861e+11	1	6.2%
3,33075e+11	1	6.2%
3,16132e+11	1	6.2%
3,29753e+11	1	6.2%
4,17365e+11	1	6.2%
4,58202e+11	1	6.2%
4,34401e+11	1	6.2%
4,00886e+11	1	6.2%
3,81199e+11	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	41	23.4%
3	20	11.4%
,	16	9.1%
E	16	9.1%
+	16	9.1%
4	14	8.0%
8	13	7.4%
2	8	4.6%
6	7	4.0%
0	7	4.0%
Other values (3)	17	9.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127	72.6%
Other Punctuation	16	9.1%
Uppercase Letter	16	9.1%
Math Symbol	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	41	32.3%
3	20	15.7%
4	14	11.0%
8	13	10.2%
2	8	6.3%
6	7	5.5%
0	7	5.5%
5	7	5.5%
7	5	3.9%
9	5	3.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159	90.9%
Latin	16	9.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	41	25.8%
3	20	12.6%
,	16	10.1%
+	16	10.1%
4	14	8.8%
8	13	8.2%
2	8	5.0%
6	7	4.4%
0	7	4.4%
5	7	4.4%
Other values (2)	10	6.3%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	41	23.4%
3	20	11.4%
,	16	9.1%
E	16	9.1%
+	16	9.1%
4	14	8.0%
8	13	7.4%
2	8	4.6%
6	7	4.0%
0	7	4.0%
Other values (3)	17	9.7%

GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,28597E+12	1
2,75213E+12	1
3,55034E+12	1
4,59431E+12	1
5,1017E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,28597E+12
2nd row	2,75213E+12
3rd row	3,55034E+12
4th row	4,59431E+12
5th row	5,1017E+12

Common Values

Value	Count	Frequency (%)
2,28597E+12	1	6.2%
2,75213E+12	1	6.2%
3,55034E+12	1	6.2%
4,59431E+12	1	6.2%
5,1017E+12	1	6.2%
6,08716E+12	1	6.2%
7,5515E+12	1	6.2%
8,53223E+12	1	6.2%
9,57041E+12	1	6.2%
1,04757E+13	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,28597e+12	1	6.2%
2,75213e+12	1	6.2%
3,55034e+12	1	6.2%
4,59431e+12	1	6.2%
5,1017e+12	1	6.2%
6,08716e+12	1	6.2%
7,5515e+12	1	6.2%
8,53223e+12	1	6.2%
9,57041e+12	1	6.2%
1,04757e+13	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	34	19.5%
2	20	11.5%
3	18	10.3%
,	16	9.2%
E	16	9.2%
+	16	9.2%
5	12	6.9%
7	11	6.3%
4	9	5.2%
0	7	4.0%
Other values (3)	15	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	126	72.4%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34	27.0%
2	20	15.9%
3	18	14.3%
5	12	9.5%
7	11	8.7%
4	9	7.1%
0	7	5.6%
9	6	4.8%
8	5	4.0%
6	4	3.2%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	34	21.5%
2	20	12.7%
3	18	11.4%
,	16	10.1%
+	16	10.1%
5	12	7.6%
7	11	7.0%
4	9	5.7%
0	7	4.4%
9	6	3.8%
Other values (2)	9	5.7%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	34	19.5%
2	20	11.5%
3	18	10.3%
,	16	9.2%
E	16	9.2%
+	16	9.2%
5	12	6.9%
7	11	6.3%
4	9	5.2%
0	7	4.0%
Other values (3)	15	8.6%

GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

4,77779E+13	1
5,17787E+13	1
5,83375E+13	1
6,40715E+13	1
6,0781E+13	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	4,77779E+13
2nd row	5,17787E+13
3rd row	5,83375E+13
4th row	6,40715E+13
5th row	6,0781E+13

Common Values

Value	Count	Frequency (%)
4,77779E+13	1	6.2%
5,17787E+13	1	6.2%
5,83375E+13	1	6.2%
6,40715E+13	1	6.2%
6,0781E+13	1	6.2%
6,65005E+13	1	6.2%
7,36715E+13	1	6.2%
7,53116E+13	1	6.2%
7,74432E+13	1	6.2%
7,95755E+13	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4,77779e+13	1	6.2%
5,17787e+13	1	6.2%
5,83375e+13	1	6.2%
6,40715e+13	1	6.2%
6,0781e+13	1	6.2%
6,65005e+13	1	6.2%
7,36715e+13	1	6.2%
7,53116e+13	1	6.2%
7,74432e+13	1	6.2%
7,95755e+13	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	28	16.1%
7	24	13.8%
3	24	13.8%
,	16	9.2%
E	16	9.2%
+	16	9.2%
5	13	7.5%
6	10	5.7%
4	8	4.6%
8	8	4.6%
Other values (3)	11	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	126	72.4%
Other Punctuation	16	9.2%
Uppercase Letter	16	9.2%
Math Symbol	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	28	22.2%
7	24	19.0%
3	24	19.0%
5	13	10.3%
6	10	7.9%
4	8	6.3%
8	8	6.3%
2	5	4.0%
0	4	3.2%
9	2	1.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	90.8%
Latin	16	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	28	17.7%
7	24	15.2%
3	24	15.2%
,	16	10.1%
+	16	10.1%
5	13	8.2%
6	10	6.3%
4	8	5.1%
8	8	5.1%
2	5	3.2%
Other values (2)	6	3.8%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	28	16.1%
7	24	13.8%
3	24	13.8%
,	16	9.2%
E	16	9.2%
+	16	9.2%
5	13	7.5%
6	10	5.7%
4	8	4.6%
8	8	4.6%
Other values (3)	11	6.3%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,065629701	1
1,199302958	1
1,172471765	1
1,209034004	1
1,310604073	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	176
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,065629701
2nd row	1,199302958
3rd row	1,172471765
4th row	1,209034004
5th row	1,310604073

Common Values

Value	Count	Frequency (%)
1,065629701	1	6.2%
1,199302958	1	6.2%
1,172471765	1	6.2%
1,209034004	1	6.2%
1,310604073	1	6.2%
1,266826626	1	6.2%
1,206150336	1	6.2%
1,241677479	1	6.2%
1,185257901	1	6.2%
1,149941997	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,065629701	1	6.2%
1,199302958	1	6.2%
1,172471765	1	6.2%
1,209034004	1	6.2%
1,310604073	1	6.2%
1,266826626	1	6.2%
1,206150336	1	6.2%
1,241677479	1	6.2%
1,185257901	1	6.2%
1,149941997	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	34	19.3%
6	18	10.2%
9	17	9.7%
7	17	9.7%
,	16	9.1%
0	16	9.1%
4	16	9.1%
2	13	7.4%
3	12	6.8%
5	9	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34	21.2%
6	18	11.2%
9	17	10.6%
7	17	10.6%
0	16	10.0%
4	16	10.0%
2	13	8.1%
3	12	7.5%
5	9	5.6%
8	8	5.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	34	19.3%
6	18	10.2%
9	17	9.7%
7	17	9.7%
,	16	9.1%
0	16	9.1%
4	16	9.1%
2	13	7.4%
3	12	6.8%
5	9	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	34	19.3%
6	18	10.2%
9	17	9.7%
7	17	9.7%
,	16	9.1%
0	16	9.1%
4	16	9.1%
2	13	7.4%
3	12	6.8%
5	9	5.1%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,023706919	1
1,9750983	1
1,907528634	1
1,897075896	1
2,098147335	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.75
Min length	9

Characters and Unicode

Total characters	172
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,023706919
2nd row	1,9750983
3rd row	1,907528634
4th row	1,897075896
5th row	2,098147335

Common Values

Value	Count	Frequency (%)
2,023706919	1	6.2%
1,9750983	1	6.2%
1,907528634	1	6.2%
1,897075896	1	6.2%
2,098147335	1	6.2%
1,969419353	1	6.2%
1,891406214	1	6.2%
1,8710806	1	6.2%
1,849875918	1	6.2%
1,862961439	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,023706919	1	6.2%
1,9750983	1	6.2%
1,907528634	1	6.2%
1,897075896	1	6.2%
2,098147335	1	6.2%
1,969419353	1	6.2%
1,891406214	1	6.2%
1,8710806	1	6.2%
1,849875918	1	6.2%
1,862961439	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	27	15.7%
9	22	12.8%
8	20	11.6%
2	16	9.3%
,	16	9.3%
0	13	7.6%
3	13	7.6%
7	12	7.0%
4	12	7.0%
6	11	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	156	90.7%
Other Punctuation	16	9.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	27	17.3%
9	22	14.1%
8	20	12.8%
2	16	10.3%
0	13	8.3%
3	13	8.3%
7	12	7.7%
4	12	7.7%
6	11	7.1%
5	10	6.4%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	172	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	27	15.7%
9	22	12.8%
8	20	11.6%
2	16	9.3%
,	16	9.3%
0	13	7.6%
3	13	7.6%
7	12	7.0%
4	12	7.0%
6	11	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	27	15.7%
9	22	12.8%
8	20	11.6%
2	16	9.3%
,	16	9.3%
0	13	7.6%
3	13	7.6%
7	12	7.0%
4	12	7.0%
6	11	6.4%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,605170416	1
1,525482905	1
1,447052519	1
1,535674984	1
1,554210702	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	176
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,605170416
2nd row	1,525482905
3rd row	1,447052519
4th row	1,535674984
5th row	1,554210702

Common Values

Value	Count	Frequency (%)
1,605170416	1	6.2%
1,525482905	1	6.2%
1,447052519	1	6.2%
1,535674984	1	6.2%
1,554210702	1	6.2%
1,500494576	1	6.2%
1,475956597	1	6.2%
1,426924977	1	6.2%
1,399020419	1	6.2%
1,282969654	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,605170416	1	6.2%
1,525482905	1	6.2%
1,447052519	1	6.2%
1,535674984	1	6.2%
1,554210702	1	6.2%
1,500494576	1	6.2%
1,475956597	1	6.2%
1,426924977	1	6.2%
1,399020419	1	6.2%
1,282969654	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
5	27	15.3%
1	24	13.6%
2	18	10.2%
4	17	9.7%
9	17	9.7%
,	16	9.1%
7	14	8.0%
6	13	7.4%
0	12	6.8%
3	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	27	16.9%
1	24	15.0%
2	18	11.2%
4	17	10.6%
9	17	10.6%
7	14	8.8%
6	13	8.1%
0	12	7.5%
3	10	6.2%
8	8	5.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	27	15.3%
1	24	13.6%
2	18	10.2%
4	17	9.7%
9	17	9.7%
,	16	9.1%
7	14	8.0%
6	13	7.4%
0	12	6.8%
3	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	27	15.3%
1	24	13.6%
2	18	10.2%
4	17	9.7%
9	17	9.7%
,	16	9.1%
7	14	8.0%
6	13	7.4%
0	12	6.8%
3	10	5.7%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

0,931581653	1
0,917197038	1
0,897626654	1
0,920247843	1
0,983777357	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	0,931581653
2nd row	0,917197038
3rd row	0,897626654
4th row	0,920247843
5th row	0,983777357

Common Values

Value	Count	Frequency (%)
0,931581653	1	6.2%
0,917197038	1	6.2%
0,897626654	1	6.2%
0,920247843	1	6.2%
0,983777357	1	6.2%
0,958851133	1	6.2%
0,986806493	1	6.2%
0,967427278	1	6.2%
0,95086605	1	6.2%
0,966999334	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0,931581653	1	6.2%
0,917197038	1	6.2%
0,897626654	1	6.2%
0,920247843	1	6.2%
0,983777357	1	6.2%
0,958851133	1	6.2%
0,986806493	1	6.2%
0,967427278	1	6.2%
0,95086605	1	6.2%
0,966999334	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
9	28	16.1%
0	24	13.8%
8	19	10.9%
3	18	10.3%
,	16	9.2%
6	14	8.0%
7	13	7.5%
5	12	6.9%
2	11	6.3%
4	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	28	17.7%
0	24	15.2%
8	19	12.0%
3	18	11.4%
6	14	8.9%
7	13	8.2%
5	12	7.6%
2	11	7.0%
4	10	6.3%
1	9	5.7%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	28	16.1%
0	24	13.8%
8	19	10.9%
3	18	10.3%
,	16	9.2%
6	14	8.0%
7	13	7.5%
5	12	6.9%
2	11	6.3%
4	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	28	16.1%
0	24	13.8%
8	19	10.9%
3	18	10.3%
,	16	9.2%
6	14	8.0%
7	13	7.5%
5	12	6.9%
2	11	6.3%
4	10	5.7%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,110669655	1
1,125832408	1
1,188901783	1
1,248621382	1
1,377555631	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	9

Characters and Unicode

Total characters	173
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,110669655
2nd row	1,125832408
3rd row	1,188901783
4th row	1,248621382
5th row	1,377555631

Common Values

Value	Count	Frequency (%)
1,110669655	1	6.2%
1,125832408	1	6.2%
1,188901783	1	6.2%
1,248621382	1	6.2%
1,377555631	1	6.2%
1,194338338	1	6.2%
1,193291895	1	6.2%
1,118404598	1	6.2%
1,0023672	1	6.2%
0,989925299	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,110669655	1	6.2%
1,125832408	1	6.2%
1,188901783	1	6.2%
1,248621382	1	6.2%
1,377555631	1	6.2%
1,194338338	1	6.2%
1,193291895	1	6.2%
1,118404598	1	6.2%
1,0023672	1	6.2%
0,989925299	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	36	20.8%
2	17	9.8%
,	16	9.2%
8	16	9.2%
9	15	8.7%
5	15	8.7%
3	15	8.7%
4	13	7.5%
0	11	6.4%
6	11	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36	22.9%
2	17	10.8%
8	16	10.2%
9	15	9.6%
5	15	9.6%
3	15	9.6%
4	13	8.3%
0	11	7.0%
6	11	7.0%
7	8	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	173	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	36	20.8%
2	17	9.8%
,	16	9.2%
8	16	9.2%
9	15	8.7%
5	15	8.7%
3	15	8.7%
4	13	7.5%
0	11	6.4%
6	11	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	36	20.8%
2	17	9.8%
,	16	9.2%
8	16	9.2%
9	15	8.7%
5	15	8.7%
3	15	8.7%
4	13	7.5%
0	11	6.4%
6	11	6.4%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

3,330103192	1
3,245254379	1
3,118542079	1
3,149486017	1
3,924063399	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	176
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	3,330103192
2nd row	3,245254379
3rd row	3,118542079
4th row	3,149486017
5th row	3,924063399

Common Values

Value	Count	Frequency (%)
3,330103192	1	6.2%
3,245254379	1	6.2%
3,118542079	1	6.2%
3,149486017	1	6.2%
3,924063399	1	6.2%
3,585085721	1	6.2%
3,433043838	1	6.2%
3,689240435	1	6.2%
3,854042583	1	6.2%
4,112992978	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3,330103192	1	6.2%
3,245254379	1	6.2%
3,118542079	1	6.2%
3,149486017	1	6.2%
3,924063399	1	6.2%
3,585085721	1	6.2%
3,433043838	1	6.2%
3,689240435	1	6.2%
3,854042583	1	6.2%
4,112992978	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
3	26	14.8%
4	23	13.1%
5	17	9.7%
,	16	9.1%
1	16	9.1%
9	16	9.1%
2	16	9.1%
8	16	9.1%
0	11	6.2%
7	11	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	26	16.2%
4	23	14.4%
5	17	10.6%
1	16	10.0%
9	16	10.0%
2	16	10.0%
8	16	10.0%
0	11	6.9%
7	11	6.9%
6	8	5.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	26	14.8%
4	23	13.1%
5	17	9.7%
,	16	9.1%
1	16	9.1%
9	16	9.1%
2	16	9.1%
8	16	9.1%
0	11	6.2%
7	11	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	26	14.8%
4	23	13.1%
5	17	9.7%
,	16	9.1%
1	16	9.1%
9	16	9.1%
2	16	9.1%
8	16	9.1%
0	11	6.2%
7	11	6.2%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

4,090034876	1
4,041627237	1
4,079655081	1
4,463827356	1
4,88559968	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	4,090034876
2nd row	4,041627237
3rd row	4,079655081
4th row	4,463827356
5th row	4,88559968

Common Values

Value	Count	Frequency (%)
4,090034876	1	6.2%
4,041627237	1	6.2%
4,079655081	1	6.2%
4,463827356	1	6.2%
4,88559968	1	6.2%
4,922641677	1	6.2%
4,840173995	1	6.2%
4,477401219	1	6.2%
4,046678879	1	6.2%
3,69589465	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4,090034876	1	6.2%
4,041627237	1	6.2%
4,079655081	1	6.2%
4,463827356	1	6.2%
4,88559968	1	6.2%
4,922641677	1	6.2%
4,840173995	1	6.2%
4,477401219	1	6.2%
4,046678879	1	6.2%
3,69589465	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
4	26	14.9%
3	18	10.3%
8	18	10.3%
7	17	9.8%
,	16	9.2%
6	16	9.2%
1	16	9.2%
0	14	8.0%
9	14	8.0%
2	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	26	16.5%
3	18	11.4%
8	18	11.4%
7	17	10.8%
6	16	10.1%
1	16	10.1%
0	14	8.9%
9	14	8.9%
2	10	6.3%
5	9	5.7%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	26	14.9%
3	18	10.3%
8	18	10.3%
7	17	9.8%
,	16	9.2%
6	16	9.2%
1	16	9.2%
0	14	8.0%
9	14	8.0%
2	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	26	14.9%
3	18	10.3%
8	18	10.3%
7	17	9.8%
,	16	9.2%
6	16	9.2%
1	16	9.2%
0	14	8.0%
9	14	8.0%
2	10	5.7%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,434203228	1
2,373086999	1
2,374207748	1
2,495723016	1
2,653485016	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	176
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,434203228
2nd row	2,373086999
3rd row	2,374207748
4th row	2,495723016
5th row	2,653485016

Common Values

Value	Count	Frequency (%)
2,434203228	1	6.2%
2,373086999	1	6.2%
2,374207748	1	6.2%
2,495723016	1	6.2%
2,653485016	1	6.2%
2,578159502	1	6.2%
2,502726402	1	6.2%
2,420564731	1	6.2%
2,293640241	1	6.2%
2,183906248	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,434203228	1	6.2%
2,373086999	1	6.2%
2,374207748	1	6.2%
2,495723016	1	6.2%
2,653485016	1	6.2%
2,578159502	1	6.2%
2,502726402	1	6.2%
2,420564731	1	6.2%
2,293640241	1	6.2%
2,183906248	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	30	17.0%
4	20	11.4%
0	17	9.7%
,	16	9.1%
5	16	9.1%
3	15	8.5%
9	14	8.0%
6	13	7.4%
7	12	6.8%
1	12	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	30	18.8%
4	20	12.5%
0	17	10.6%
5	16	10.0%
3	15	9.4%
9	14	8.8%
6	13	8.1%
7	12	7.5%
1	12	7.5%
8	11	6.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	30	17.0%
4	20	11.4%
0	17	9.7%
,	16	9.1%
5	16	9.1%
3	15	8.5%
9	14	8.0%
6	13	7.4%
7	12	6.8%
1	12	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	30	17.0%
4	20	11.4%
0	17	9.7%
,	16	9.1%
5	16	9.1%
3	15	8.5%
9	14	8.0%
6	13	7.4%
7	12	6.8%
1	12	6.8%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,524013393	1
1,481084895	1
1,4662921	1
1,441924093	1
1,538625697	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	9

Characters and Unicode

Total characters	174
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,524013393
2nd row	1,481084895
3rd row	1,4662921
4th row	1,441924093
5th row	1,538625697

Common Values

Value	Count	Frequency (%)
1,524013393	1	6.2%
1,481084895	1	6.2%
1,4662921	1	6.2%
1,441924093	1	6.2%
1,538625697	1	6.2%
1,539406981	1	6.2%
1,411851159	1	6.2%
1,378656465	1	6.2%
1,329446084	1	6.2%
1,330244423	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,524013393	1	6.2%
1,481084895	1	6.2%
1,4662921	1	6.2%
1,441924093	1	6.2%
1,538625697	1	6.2%
1,539406981	1	6.2%
1,411851159	1	6.2%
1,378656465	1	6.2%
1,329446084	1	6.2%
1,330244423	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	33	19.0%
4	26	14.9%
3	18	10.3%
,	16	9.2%
5	16	9.2%
9	14	8.0%
6	14	8.0%
8	12	6.9%
2	11	6.3%
0	8	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	33	20.9%
4	26	16.5%
3	18	11.4%
5	16	10.1%
9	14	8.9%
6	14	8.9%
8	12	7.6%
2	11	7.0%
0	8	5.1%
7	6	3.8%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	33	19.0%
4	26	14.9%
3	18	10.3%
,	16	9.2%
5	16	9.2%
9	14	8.0%
6	14	8.0%
8	12	6.9%
2	11	6.3%
0	8	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	33	19.0%
4	26	14.9%
3	18	10.3%
,	16	9.2%
5	16	9.2%
9	14	8.0%
6	14	8.0%
8	12	6.9%
2	11	6.3%
0	8	4.6%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,754907666	1
2,52680863	1
2,478248209	1
2,631462141	1
3,129387179	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	9

Characters and Unicode

Total characters	173
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,754907666
2nd row	2,52680863
3rd row	2,478248209
4th row	2,631462141
5th row	3,129387179

Common Values

Value	Count	Frequency (%)
2,754907666	1	6.2%
2,52680863	1	6.2%
2,478248209	1	6.2%
2,631462141	1	6.2%
3,129387179	1	6.2%
2,889461328	1	6.2%
2,704483558	1	6.2%
2,618167619	1	6.2%
2,548825679	1	6.2%
2,543982503	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,754907666	1	6.2%
2,52680863	1	6.2%
2,478248209	1	6.2%
2,631462141	1	6.2%
3,129387179	1	6.2%
2,889461328	1	6.2%
2,704483558	1	6.2%
2,618167619	1	6.2%
2,548825679	1	6.2%
2,543982503	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	28	16.2%
8	20	11.6%
4	17	9.8%
6	17	9.8%
,	16	9.2%
1	16	9.2%
5	15	8.7%
7	12	6.9%
3	12	6.9%
9	10	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	28	17.8%
8	20	12.7%
4	17	10.8%
6	17	10.8%
1	16	10.2%
5	15	9.6%
7	12	7.6%
3	12	7.6%
9	10	6.4%
0	10	6.4%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	173	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	28	16.2%
8	20	11.6%
4	17	9.8%
6	17	9.8%
,	16	9.2%
1	16	9.2%
5	15	8.7%
7	12	6.9%
3	12	6.9%
9	10	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	28	16.2%
8	20	11.6%
4	17	9.8%
6	17	9.8%
,	16	9.2%
1	16	9.2%
5	15	8.7%
7	12	6.9%
3	12	6.9%
9	10	5.8%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

0,355958931	1
0,311171936	1
0,401163918	1
0,390513227	1
0,501556275	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	0,355958931
2nd row	0,311171936
3rd row	0,401163918
4th row	0,390513227
5th row	0,501556275

Common Values

Value	Count	Frequency (%)
0,355958931	1	6.2%
0,311171936	1	6.2%
0,401163918	1	6.2%
0,390513227	1	6.2%
0,501556275	1	6.2%
0,452734493	1	6.2%
0,465777803	1	6.2%
0,475987281	1	6.2%
0,507919455	1	6.2%
0,513829957	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0,355958931	1	6.2%
0,311171936	1	6.2%
0,401163918	1	6.2%
0,390513227	1	6.2%
0,501556275	1	6.2%
0,452734493	1	6.2%
0,465777803	1	6.2%
0,475987281	1	6.2%
0,507919455	1	6.2%
0,513829957	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
0	24	13.7%
5	23	13.1%
1	18	10.3%
7	17	9.7%
4	17	9.7%
,	16	9.1%
9	15	8.6%
3	14	8.0%
6	13	7.4%
2	11	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	24	15.1%
5	23	14.5%
1	18	11.3%
7	17	10.7%
4	17	10.7%
9	15	9.4%
3	14	8.8%
6	13	8.2%
2	11	6.9%
8	7	4.4%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	24	13.7%
5	23	13.1%
1	18	10.3%
7	17	9.7%
4	17	9.7%
,	16	9.1%
9	15	8.6%
3	14	8.0%
6	13	7.4%
2	11	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	24	13.7%
5	23	13.1%
1	18	10.3%
7	17	9.7%
4	17	9.7%
,	16	9.1%
9	15	8.6%
3	14	8.0%
6	13	7.4%
2	11	6.3%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,38376969	1
1,290746983	1
1,177517253	1
1,145843314	1
1,214002043	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,38376969
2nd row	1,290746983
3rd row	1,177517253
4th row	1,145843314
5th row	1,214002043

Common Values

Value	Count	Frequency (%)
1,38376969	1	6.2%
1,290746983	1	6.2%
1,177517253	1	6.2%
1,145843314	1	6.2%
1,214002043	1	6.2%
1,115808251	1	6.2%
1,103257676	1	6.2%
1,132793112	1	6.2%
1,123274262	1	6.2%
1,109437883	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,38376969	1	6.2%
1,290746983	1	6.2%
1,177517253	1	6.2%
1,145843314	1	6.2%
1,214002043	1	6.2%
1,115808251	1	6.2%
1,103257676	1	6.2%
1,132793112	1	6.2%
1,123274262	1	6.2%
1,109437883	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	32	18.3%
3	18	10.3%
0	18	10.3%
,	16	9.1%
9	16	9.1%
7	15	8.6%
2	14	8.0%
4	13	7.4%
5	12	6.9%
8	11	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	32	20.1%
3	18	11.3%
0	18	11.3%
9	16	10.1%
7	15	9.4%
2	14	8.8%
4	13	8.2%
5	12	7.5%
8	11	6.9%
6	10	6.3%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	32	18.3%
3	18	10.3%
0	18	10.3%
,	16	9.1%
9	16	9.1%
7	15	8.6%
2	14	8.0%
4	13	7.4%
5	12	6.9%
8	11	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	32	18.3%
3	18	10.3%
0	18	10.3%
,	16	9.1%
9	16	9.1%
7	15	8.6%
2	14	8.0%
4	13	7.4%
5	12	6.9%
8	11	6.3%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,85334244	1
1,85464884	1
1,739812859	1
1,712334361	1
1,886133152	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.75
Min length	10

Characters and Unicode

Total characters	172
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,85334244
2nd row	1,85464884
3rd row	1,739812859
4th row	1,712334361
5th row	1,886133152

Common Values

Value	Count	Frequency (%)
1,85334244	1	6.2%
1,85464884	1	6.2%
1,739812859	1	6.2%
1,712334361	1	6.2%
1,886133152	1	6.2%
1,73947515	1	6.2%
1,665576053	1	6.2%
1,693368163	1	6.2%
1,702855096	1	6.2%
1,728689068	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,85334244	1	6.2%
1,85464884	1	6.2%
1,739812859	1	6.2%
1,712334361	1	6.2%
1,886133152	1	6.2%
1,73947515	1	6.2%
1,665576053	1	6.2%
1,693368163	1	6.2%
1,702855096	1	6.2%
1,728689068	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	25	14.5%
7	25	14.5%
3	19	11.0%
5	17	9.9%
6	17	9.9%
,	16	9.3%
8	16	9.3%
4	11	6.4%
9	11	6.4%
2	8	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	156	90.7%
Other Punctuation	16	9.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	25	16.0%
7	25	16.0%
3	19	12.2%
5	17	10.9%
6	17	10.9%
8	16	10.3%
4	11	7.1%
9	11	7.1%
2	8	5.1%
0	7	4.5%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	172	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	25	14.5%
7	25	14.5%
3	19	11.0%
5	17	9.9%
6	17	9.9%
,	16	9.3%
8	16	9.3%
4	11	6.4%
9	11	6.4%
2	8	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	25	14.5%
7	25	14.5%
3	19	11.0%
5	17	9.9%
6	17	9.9%
,	16	9.3%
8	16	9.3%
4	11	6.4%
9	11	6.4%
2	8	4.7%

Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

2,394431087	1
2,364165577	1
2,328462871	1
2,386424706	1
2,617904287	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	10

Characters and Unicode

Total characters	173
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	2,394431087
2nd row	2,364165577
3rd row	2,328462871
4th row	2,386424706
5th row	2,617904287

Common Values

Value	Count	Frequency (%)
2,394431087	1	6.2%
2,364165577	1	6.2%
2,328462871	1	6.2%
2,386424706	1	6.2%
2,617904287	1	6.2%
2,522910495	1	6.2%
2,412033384	1	6.2%
2,37288179	1	6.2%
2,30441943	1	6.2%
2,251088751	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2,394431087	1	6.2%
2,364165577	1	6.2%
2,328462871	1	6.2%
2,386424706	1	6.2%
2,617904287	1	6.2%
2,522910495	1	6.2%
2,412033384	1	6.2%
2,37288179	1	6.2%
2,30441943	1	6.2%
2,251088751	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	33	19.1%
1	17	9.8%
8	17	9.8%
,	16	9.2%
3	16	9.2%
6	16	9.2%
4	15	8.7%
7	14	8.1%
5	11	6.4%
0	10	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	33	21.0%
1	17	10.8%
8	17	10.8%
3	16	10.2%
6	16	10.2%
4	15	9.6%
7	14	8.9%
5	11	7.0%
0	10	6.4%
9	8	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	173	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	33	19.1%
1	17	9.8%
8	17	9.8%
,	16	9.2%
3	16	9.2%
6	16	9.2%
4	15	8.7%
7	14	8.1%
5	11	6.4%
0	10	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	33	19.1%
1	17	9.8%
8	17	9.8%
,	16	9.2%
3	16	9.2%
6	16	9.2%
4	15	8.7%
7	14	8.1%
5	11	6.4%
0	10	5.8%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.28294262 × 10¹⁰

Minimum	3.032496518 × 10¹⁰
Maximum	5.27647612 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	3.032496518 × 10¹⁰
5-th percentile	3.449398477 × 10¹⁰
Q1	4.004690628 × 10¹⁰
median	4.402043633 × 10¹⁰
Q3	4.511502045 × 10¹⁰
95-th percentile	4.994682454 × 10¹⁰
Maximum	5.27647612 × 10¹⁰
Range	2.243979602 × 10¹⁰
Interquartile range (IQR)	5068114169

Descriptive statistics

Standard deviation	5244369271
Coefficient of variation (CV)	0.122447806
Kurtosis	1.405535821
Mean	4.28294262 × 10¹⁰
Median Absolute Deviation (MAD)	2106381406
Skewness	-0.6000404362
Sum	6.852708192 × 10¹¹
Variance	2.750340905 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
3.032496518 × 10¹⁰	1	6.2%
3.588365797 × 10¹⁰	1	6.2%
4.011085928 × 10¹⁰	1	6.2%
4.509895631 × 10¹⁰	1	6.2%
4.452892784 × 10¹⁰	1	6.2%
4.302591501 × 10¹⁰	1	6.2%
4.516321288 × 10¹⁰	1	6.2%
4.379822535 × 10¹⁰	1	6.2%
4.42426473 × 10¹⁰	1	6.2%
4.466283117 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.032496518 × 10¹⁰	1	6.2%
3.588365797 × 10¹⁰	1	6.2%
3.817002107 × 10¹⁰	1	6.2%
3.985504731 × 10¹⁰	1	6.2%
4.011085928 × 10¹⁰	1	6.2%
4.221025809 × 10¹⁰	1	6.2%
4.302591501 × 10¹⁰	1	6.2%
4.379822535 × 10¹⁰	1	6.2%
4.42426473 × 10¹⁰	1	6.2%
4.452892784 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
5.27647612 × 10¹⁰	1	6.2%
4.900751232 × 10¹⁰	1	6.2%
4.64230209 × 10¹⁰	1	6.2%
4.516321288 × 10¹⁰	1	6.2%
4.509895631 × 10¹⁰	1	6.2%
4.466283117 × 10¹⁰	1	6.2%
4.452892784 × 10¹⁰	1	6.2%
4.42426473 × 10¹⁰	1	6.2%
4.379822535 × 10¹⁰	1	6.2%
4.302591501 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.067082939 × 10¹⁰

Minimum	4.444205052 × 10¹⁰
Maximum	5.64414554 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	4.444205052 × 10¹⁰
5-th percentile	4.534611636 × 10¹⁰
Q1	4.873939408 × 10¹⁰
median	5.104714011 × 10¹⁰
Q3	5.284398637 × 10¹⁰
95-th percentile	5.563483823 × 10¹⁰
Maximum	5.64414554 × 10¹⁰
Range	1.199940488 × 10¹⁰
Interquartile range (IQR)	4104592292

Descriptive statistics

Standard deviation	3495173361
Coefficient of variation (CV)	0.06897801759
Kurtosis	-0.6170381912
Mean	5.067082939 × 10¹⁰
Median Absolute Deviation (MAD)	1969544324
Skewness	-0.2818883778
Sum	8.107332702 × 10¹¹
Variance	1.221623682 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
4.444205052 × 10¹⁰	1	6.2%
4.579214842 × 10¹⁰	1	6.2%
5.068446738 × 10¹⁰	1	6.2%
5.536596584 × 10¹⁰	1	6.2%
5.64414554 × 10¹⁰	1	6.2%
5.204406056 × 10¹⁰	1	6.2%
5.412087101 × 10¹⁰	1	6.2%
5.02165074 × 10¹⁰	1	6.2%
5.200146245 × 10¹⁰	1	6.2%
5.31347509 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.444205052 × 10¹⁰	1	6.2%
4.564747164 × 10¹⁰	1	6.2%
4.579214842 × 10¹⁰	1	6.2%
4.737058955 × 10¹⁰	1	6.2%
4.919566225 × 10¹⁰	1	6.2%
5.011892921 × 10¹⁰	1	6.2%
5.02165074 × 10¹⁰	1	6.2%
5.068446738 × 10¹⁰	1	6.2%
5.140981284 × 10¹⁰	1	6.2%
5.200146245 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
5.64414554 × 10¹⁰	1	6.2%
5.536596584 × 10¹⁰	1	6.2%
5.412087101 × 10¹⁰	1	6.2%
5.31347509 × 10¹⁰	1	6.2%
5.274706486 × 10¹⁰	1	6.2%
5.204406056 × 10¹⁰	1	6.2%
5.200146245 × 10¹⁰	1	6.2%
5.140981284 × 10¹⁰	1	6.2%
5.068446738 × 10¹⁰	1	6.2%
5.02165074 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.955753512 × 10¹⁰

Minimum	2.218084507 × 10¹⁰
Maximum	3.683998975 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	2.218084507 × 10¹⁰
5-th percentile	2.431998219 × 10¹⁰
Q1	2.738774898 × 10¹⁰
median	2.968533233 × 10¹⁰
Q3	3.199202883 × 10¹⁰
95-th percentile	3.475085843 × 10¹⁰
Maximum	3.683998975 × 10¹⁰
Range	1.465914468 × 10¹⁰
Interquartile range (IQR)	4604279852

Descriptive statistics

Standard deviation	3683209286
Coefficient of variation (CV)	0.1246115169
Kurtosis	0.1972680176
Mean	2.955753512 × 10¹⁰
Median Absolute Deviation (MAD)	2316293544
Skewness	0.03061951999
Sum	4.729205619 × 10¹¹
Variance	1.356603064 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2.973764239 × 10¹⁰	1	6.2%
2.963302226 × 10¹⁰	1	6.2%
3.198243179 × 10¹⁰	1	6.2%
3.683998975 × 10¹⁰	1	6.2%
3.405448132 × 10¹⁰	1	6.2%
3.202081995 × 10¹⁰	1	6.2%
3.382880497 × 10¹⁰	1	6.2%
2.97810082 × 10¹⁰	1	6.2%
2.99574459 × 10¹⁰	1	6.2%
2.770103434 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.218084507 × 10¹⁰	1	6.2%
2.50330279 × 10¹⁰	1	6.2%
2.638067398 × 10¹⁰	1	6.2%
2.644789292 × 10¹⁰	1	6.2%
2.770103434 × 10¹⁰	1	6.2%
2.842009844 × 10¹⁰	1	6.2%
2.892134276 × 10¹⁰	1	6.2%
2.963302226 × 10¹⁰	1	6.2%
2.973764239 × 10¹⁰	1	6.2%
2.97810082 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
3.683998975 × 10¹⁰	1	6.2%
3.405448132 × 10¹⁰	1	6.2%
3.382880497 × 10¹⁰	1	6.2%
3.202081995 × 10¹⁰	1	6.2%
3.198243179 × 10¹⁰	1	6.2%
2.99574459 × 10¹⁰	1	6.2%
2.97810082 × 10¹⁰	1	6.2%
2.973764239 × 10¹⁰	1	6.2%
2.963302226 × 10¹⁰	1	6.2%
2.892134276 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.830665168 × 10¹⁰

Minimum	4.053004569 × 10¹⁰
Maximum	6.076221384 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	4.053004569 × 10¹⁰
5-th percentile	4.129695609 × 10¹⁰
Q1	4.511542718 × 10¹⁰
median	4.676071074 × 10¹⁰
Q3	4.97277073 × 10¹⁰
95-th percentile	6.019920111 × 10¹⁰
Maximum	6.076221384 × 10¹⁰
Range	2.023216815 × 10¹⁰
Interquartile range (IQR)	4612280120

Descriptive statistics

Standard deviation	5917340439
Coefficient of variation (CV)	0.1224953549
Kurtosis	0.5290113744
Mean	4.830665168 × 10¹⁰
Median Absolute Deviation (MAD)	2423971836
Skewness	0.991726593
Sum	7.729064269 × 10¹¹
Variance	3.501491787 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
4.430061333 × 10¹⁰	1	6.2%
4.155259289 × 10¹⁰	1	6.2%
4.053004569 × 10¹⁰	1	6.2%
4.636146828 × 10¹⁰	1	6.2%
5.146515821 × 10¹⁰	1	6.2%
5.465545074 × 10¹⁰	1	6.2%
6.076221384 × 10¹⁰	1	6.2%
6.00115302 × 10¹⁰	1	6.2%
4.902393241 × 10¹⁰	1	6.2%
4.690346661 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.053004569 × 10¹⁰	1	6.2%
4.155259289 × 10¹⁰	1	6.2%
4.210610331 × 10¹⁰	1	6.2%
4.430061333 × 10¹⁰	1	6.2%
4.53870318 × 10¹⁰	1	6.2%
4.636146828 × 10¹⁰	1	6.2%
4.647128771 × 10¹⁰	1	6.2%
4.661795486 × 10¹⁰	1	6.2%
4.690346661 × 10¹⁰	1	6.2%
4.760901999 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
6.076221384 × 10¹⁰	1	6.2%
6.00115302 × 10¹⁰	1	6.2%
5.465545074 × 10¹⁰	1	6.2%
5.146515821 × 10¹⁰	1	6.2%
4.9148557 × 10¹⁰	1	6.2%
4.902393241 × 10¹⁰	1	6.2%
4.760901999 × 10¹⁰	1	6.2%
4.690346661 × 10¹⁰	1	6.2%
4.661795486 × 10¹⁰	1	6.2%
4.647128771 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.916893972 × 10¹⁰

Minimum	1.298813296 × 10¹⁰
Maximum	2.275484713 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	1.298813296 × 10¹⁰
5-th percentile	1.435445284 × 10¹⁰
Q1	1.783592424 × 10¹⁰
median	1.912595744 × 10¹⁰
Q3	2.159639276 × 10¹⁰
95-th percentile	2.273570747 × 10¹⁰
Maximum	2.275484713 × 10¹⁰
Range	9766714165
Interquartile range (IQR)	3760468514

Descriptive statistics

Standard deviation	2792040948
Coefficient of variation (CV)	0.1456544279
Kurtosis	0.1763126567
Mean	1.916893972 × 10¹⁰
Median Absolute Deviation (MAD)	1525999702
Skewness	-0.5925161751
Sum	3.067030356 × 10¹¹
Variance	7.795492656 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
1.298813296 × 10¹⁰	1	6.2%
1.48098928 × 10¹⁰	1	6.2%
1.741713993 × 10¹⁰	1	6.2%
1.93420584 × 10¹⁰	1	6.2%
1.893622605 × 10¹⁰	1	6.2%
1.931568882 × 10¹⁰	1	6.2%
2.139372086 × 10¹⁰	1	6.2%
2.045210711 × 10¹⁰	1	6.2%
1.851573121 × 10¹⁰	1	6.2%
1.785364048 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.298813296 × 10¹⁰	1	6.2%
1.48098928 × 10¹⁰	1	6.2%
1.741713993 × 10¹⁰	1	6.2%
1.778277554 × 10¹⁰	1	6.2%
1.785364048 × 10¹⁰	1	6.2%
1.79376419 × 10¹⁰	1	6.2%
1.851573121 × 10¹⁰	1	6.2%
1.893622605 × 10¹⁰	1	6.2%
1.931568882 × 10¹⁰	1	6.2%
1.93420584 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
2.275484713 × 10¹⁰	1	6.2%
2.272932758 × 10¹⁰	1	6.2%
2.226969632 × 10¹⁰	1	6.2%
2.220440844 × 10¹⁰	1	6.2%
2.139372086 × 10¹⁰	1	6.2%
2.045210711 × 10¹⁰	1	6.2%
1.93420584 × 10¹⁰	1	6.2%
1.931568882 × 10¹⁰	1	6.2%
1.893622605 × 10¹⁰	1	6.2%
1.851573121 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.17303398 × 10¹⁰

Minimum	2.733697727 × 10¹⁰
Maximum	8.835289646 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	2.733697727 × 10¹⁰
5-th percentile	3.272258053 × 10¹⁰
Q1	5.502086824 × 10¹⁰
median	6.345693651 × 10¹⁰
Q3	6.94933519 × 10¹⁰
95-th percentile	8.561060261 × 10¹⁰
Maximum	8.835289646 × 10¹⁰
Range	6.101591919 × 10¹⁰
Interquartile range (IQR)	1.447248366 × 10¹⁰

Descriptive statistics

Standard deviation	1.676095 × 10¹⁰
Coefficient of variation (CV)	0.2715188359
Kurtosis	0.09269920438
Mean	6.17303398 × 10¹⁰
Median Absolute Deviation (MAD)	7026869279
Skewness	-0.4550148613
Sum	9.876854367 × 10¹¹
Variance	2.809294449 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2.733697727 × 10¹⁰	1	6.2%
3.451778162 × 10¹⁰	1	6.2%
4.3534995 × 10¹⁰	1	6.2%
5.618378539 × 10¹⁰	1	6.2%
5.15321168 × 10¹⁰	1	6.2%
5.872022761 × 10¹⁰	1	6.2%
7.023752395 × 10¹⁰	1	6.2%
8.146939993 × 10¹⁰	1	6.2%
8.835289646 × 10¹⁰	1	6.2%
8.469650465 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.733697727 × 10¹⁰	1	6.2%
3.451778162 × 10¹⁰	1	6.2%
4.3534995 × 10¹⁰	1	6.2%
5.15321168 × 10¹⁰	1	6.2%
5.618378539 × 10¹⁰	1	6.2%
5.872022761 × 10¹⁰	1	6.2%
6.160920476 × 10¹⁰	1	6.2%
6.171253717 × 10¹⁰	1	6.2%
6.520133585 × 10¹⁰	1	6.2%
6.642182218 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
8.835289646 × 10¹⁰	1	6.2%
8.469650465 × 10¹⁰	1	6.2%
8.146939993 × 10¹⁰	1	6.2%
7.023752395 × 10¹⁰	1	6.2%
6.924529455 × 10¹⁰	1	6.2%
6.691303354 × 10¹⁰	1	6.2%
6.642182218 × 10¹⁰	1	6.2%
6.520133585 × 10¹⁰	1	6.2%
6.171253717 × 10¹⁰	1	6.2%
6.160920476 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

5,33203E+11	1
5,58335E+11	1
5,89586E+11	1
6,56756E+11	1
7,05917E+11	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	5,33203E+11
2nd row	5,58335E+11
3rd row	5,89586E+11
4th row	6,56756E+11
5th row	7,05917E+11

Common Values

Value	Count	Frequency (%)
5,33203E+11	1	6.2%
5,58335E+11	1	6.2%
5,89586E+11	1	6.2%
6,56756E+11	1	6.2%
7,05917E+11	1	6.2%
7,38005E+11	1	6.2%
7,52288E+11	1	6.2%
7,25205E+11	1	6.2%
6,79229E+11	1	6.2%
6,47789E+11	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5,33203e+11	1	6.2%
5,58335e+11	1	6.2%
5,89586e+11	1	6.2%
6,56756e+11	1	6.2%
7,05917e+11	1	6.2%
7,38005e+11	1	6.2%
7,52288e+11	1	6.2%
7,25205e+11	1	6.2%
6,79229e+11	1	6.2%
6,47789e+11	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	34	19.4%
,	16	9.1%
E	16	9.1%
+	16	9.1%
5	15	8.6%
3	14	8.0%
7	13	7.4%
6	12	6.9%
8	11	6.3%
2	10	5.7%
Other values (3)	18	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127	72.6%
Other Punctuation	16	9.1%
Uppercase Letter	16	9.1%
Math Symbol	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34	26.8%
5	15	11.8%
3	14	11.0%
7	13	10.2%
6	12	9.4%
8	11	8.7%
2	10	7.9%
9	7	5.5%
4	6	4.7%
0	5	3.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159	90.9%
Latin	16	9.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	34	21.4%
,	16	10.1%
+	16	10.1%
5	15	9.4%
3	14	8.8%
7	13	8.2%
6	12	7.5%
8	11	6.9%
2	10	6.3%
9	7	4.4%
Other values (2)	11	6.9%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	34	19.4%
,	16	9.1%
E	16	9.1%
+	16	9.1%
5	15	8.6%
3	14	8.0%
7	13	7.4%
6	12	6.9%
8	11	6.3%
2	10	5.7%
Other values (3)	18	10.3%

Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.248784016 × 10¹⁰

Minimum	5.163353922 × 10¹⁰
Maximum	7.344803201 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	5.163353922 × 10¹⁰
5-th percentile	5.290388053 × 10¹⁰
Q1	5.864287995 × 10¹⁰
median	6.390841841 × 10¹⁰
Q3	6.573175381 × 10¹⁰
95-th percentile	7.304856376 × 10¹⁰
Maximum	7.344803201 × 10¹⁰
Range	2.18144928 × 10¹⁰
Interquartile range (IQR)	7088873855

Descriptive statistics

Standard deviation	6225046193
Coefficient of variation (CV)	0.09962012092
Kurtosis	-0.307038601
Mean	6.248784016 × 10¹⁰
Median Absolute Deviation (MAD)	3502631468
Skewness	0.01846995269
Sum	9.998054426 × 10¹¹
Variance	3.875120011 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
6.165363504 × 10¹⁰	1	6.2%
6.421761953 × 10¹⁰	1	6.2%
7.344803201 × 10¹⁰	1	6.2%
7.291540767 × 10¹⁰	1	6.2%
6.401050667 × 10¹⁰	1	6.2%
6.397911197 × 10¹⁰	1	6.2%
6.656955257 × 10¹⁰	1	6.2%
6.545248755 × 10¹⁰	1	6.2%
6.383772486 × 10¹⁰	1	6.2%
6.699546865 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.163353922 × 10¹⁰	1	6.2%
5.332732763 × 10¹⁰	1	6.2%
5.568022822 × 10¹⁰	1	6.2%
5.685613307 × 10¹⁰	1	6.2%
5.923846225 × 10¹⁰	1	6.2%
5.999020572 × 10¹⁰	1	6.2%
6.165363504 × 10¹⁰	1	6.2%
6.383772486 × 10¹⁰	1	6.2%
6.397911197 × 10¹⁰	1	6.2%
6.401050667 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
7.344803201 × 10¹⁰	1	6.2%
7.291540767 × 10¹⁰	1	6.2%
6.699546865 × 10¹⁰	1	6.2%
6.656955257 × 10¹⁰	1	6.2%
6.545248755 × 10¹⁰	1	6.2%
6.421761953 × 10¹⁰	1	6.2%
6.401050667 × 10¹⁰	1	6.2%
6.397911197 × 10¹⁰	1	6.2%
6.383772486 × 10¹⁰	1	6.2%
6.165363504 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.643544072 × 10¹⁰

Minimum	1.358861974 × 10¹⁰
Maximum	3.69362099 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	1.358861974 × 10¹⁰
5-th percentile	1.570080541 × 10¹⁰
Q1	2.328999968 × 10¹⁰
median	2.577784055 × 10¹⁰
Q3	3.271387633 × 10¹⁰
95-th percentile	3.473626083 × 10¹⁰
Maximum	3.69362099 × 10¹⁰
Range	2.334759016 × 10¹⁰
Interquartile range (IQR)	9423876655

Descriptive statistics

Standard deviation	6706938632
Coefficient of variation (CV)	0.2537101122
Kurtosis	-0.6233271942
Mean	2.643544072 × 10¹⁰
Median Absolute Deviation (MAD)	5666787667
Skewness	-0.2798080062
Sum	4.229670516 × 10¹¹
Variance	4.498302581 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
1.358861974 × 10¹⁰	1	6.2%
1.640486731 × 10¹⁰	1	6.2%
2.048575802 × 10¹⁰	1	6.2%
2.445290304 × 10¹⁰	1	6.2%
2.564880991 × 10¹⁰	1	6.2%
3.400294447 × 10¹⁰	1	6.2%
3.69362099 × 10¹⁰	1	6.2%
3.398700507 × 10¹⁰	1	6.2%
3.287478723 × 10¹⁰	1	6.2%
3.266023937 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.358861974 × 10¹⁰	1	6.2%
1.640486731 × 10¹⁰	1	6.2%
1.973634776 × 10¹⁰	1	6.2%
2.048575802 × 10¹⁰	1	6.2%
2.42247469 × 10¹⁰	1	6.2%
2.445290304 × 10¹⁰	1	6.2%
2.461770168 × 10¹⁰	1	6.2%
2.564880991 × 10¹⁰	1	6.2%
2.59068712 × 10¹⁰	1	6.2%
2.817740687 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
3.69362099 × 10¹⁰	1	6.2%
3.400294447 × 10¹⁰	1	6.2%
3.398700507 × 10¹⁰	1	6.2%
3.287478723 × 10¹⁰	1	6.2%
3.266023937 × 10¹⁰	1	6.2%
2.92618331 × 10¹⁰	1	6.2%
2.817740687 × 10¹⁰	1	6.2%
2.59068712 × 10¹⁰	1	6.2%
2.564880991 × 10¹⁰	1	6.2%
2.461770168 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.821056516 × 10¹⁰

Minimum	2.307231292 × 10¹⁰
Maximum	7.28874466 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	2.307231292 × 10¹⁰
5-th percentile	2.37320242 × 10¹⁰
Q1	3.729220998 × 10¹⁰
median	4.85186723 × 10¹⁰
Q3	5.86180758 × 10¹⁰
95-th percentile	7.182353704 × 10¹⁰
Maximum	7.28874466 × 10¹⁰
Range	4.981513368 × 10¹⁰
Interquartile range (IQR)	2.132586583 × 10¹⁰

Descriptive statistics

Standard deviation	1.58720992 × 10¹⁰
Coefficient of variation (CV)	0.3292244997
Kurtosis	-0.8641216984
Mean	4.821056516 × 10¹⁰
Median Absolute Deviation (MAD)	1.265640674 × 10¹⁰
Skewness	-0.07592068579
Sum	7.713690426 × 10¹¹
Variance	2.519235329 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2.307231292 × 10¹⁰	1	6.2%
2.395192796 × 10¹⁰	1	6.2%
2.825477345 × 10¹⁰	1	6.2%
3.300237673 × 10¹⁰	1	6.2%
3.872215439 × 10¹⁰	1	6.2%
4.609044566 × 10¹⁰	1	6.2%
4.963381579 × 10¹⁰	1	6.2%
4.721692005 × 10¹⁰	1	6.2%
4.74035288 × 10¹⁰	1	6.2%
5.091409628 × 10¹⁰	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.307231292 × 10¹⁰	1	6.2%
2.395192796 × 10¹⁰	1	6.2%
2.825477345 × 10¹⁰	1	6.2%
3.300237673 × 10¹⁰	1	6.2%
3.872215439 × 10¹⁰	1	6.2%
4.609044566 × 10¹⁰	1	6.2%
4.721692005 × 10¹⁰	1	6.2%
4.74035288 × 10¹⁰	1	6.2%
4.963381579 × 10¹⁰	1	6.2%
5.091409628 × 10¹⁰	1	6.2%

Value	Count	Frequency (%)
7.28874466 × 10¹⁰	1	6.2%
7.146890052 × 10¹⁰	1	6.2%
6.625780172 × 10¹⁰	1	6.2%
6.455943528 × 10¹⁰	1	6.2%
5.663762264 × 10¹⁰	1	6.2%
5.129548375 × 10¹⁰	1	6.2%
5.091409628 × 10¹⁰	1	6.2%
4.963381579 × 10¹⁰	1	6.2%
4.74035288 × 10¹⁰	1	6.2%
4.721692005 × 10¹⁰	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5183835729

Minimum	3035131019
Maximum	6758693845
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	3035131019
5-th percentile	3101373988
Q1	4469338966
median	5402856776
Q3	5908735099
95-th percentile	6677779652
Maximum	6758693845
Range	3723562826
Interquartile range (IQR)	1439396132

Descriptive statistics

Standard deviation	1131588905
Coefficient of variation (CV)	0.2182918141
Kurtosis	-0.3351441505
Mean	5183835729
Median Absolute Deviation (MAD)	801071334
Skewness	-0.5269485928
Sum	8.294137166 × 10¹⁰
Variance	1.280493451 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
3123454978	1	6.2%
3035131019	1	6.2%
4223037646	1	6.2%
4334654124	1	6.2%
4514233914	1	6.2%
4789031339	1	6.2%
5498458542	1	6.2%
5717035575	1	6.2%
6473144378	1	6.2%
6758693845	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3035131019	1	6.2%
3123454978	1	6.2%
4223037646	1	6.2%
4334654124	1	6.2%
4514233914	1	6.2%
4789031339	1	6.2%
5062076646	1	6.2%
5336875740	1	6.2%
5468837812	1	6.2%
5498458542	1	6.2%

Value	Count	Frequency (%)
6758693845	1	6.2%
6650808254	1	6.2%
6473144378	1	6.2%
6116376582	1	6.2%
5839521271	1	6.2%
5717035575	1	6.2%
5498458542	1	6.2%
5468837812	1	6.2%
5336875740	1	6.2%
5062076646	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3699323606

Minimum	3139312128
Maximum	4594154078
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	256.0 B

Quantile statistics

Minimum	3139312128
5-th percentile	3147949692
Q1	3475584970
median	3579235714
Q3	3948915939
95-th percentile	4515731092
Maximum	4594154078
Range	1454841950
Interquartile range (IQR)	473330968.8

Descriptive statistics

Standard deviation	438933417
Coefficient of variation (CV)	0.118652344
Kurtosis	-0.08989380957
Mean	3699323606
Median Absolute Deviation (MAD)	218405155
Skewness	0.8567880573
Sum	5.918917769 × 10¹⁰
Variance	1.926625446 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
3566963815	1	6.2%
3506139658	1	6.2%
3525684244	1	6.2%
3285925081	1	6.2%
3592687702	1	6.2%
4188168092	1	6.2%
4594154078	1	6.2%
4489590096	1	6.2%
4118208483	1	6.2%
3892485091	1	6.2%
Other values (6)	6	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3139312128	1	6.2%
3150828880	1	6.2%
3285925081	1	6.2%
3435736037	1	6.2%
3488867948	1	6.2%
3506139658	1	6.2%
3525684244	1	6.2%
3566963815	1	6.2%
3591507613	1	6.2%
3592687702	1	6.2%

Value	Count	Frequency (%)
4594154078	1	6.2%
4489590096	1	6.2%
4188168092	1	6.2%
4118208483	1	6.2%
3892485091	1	6.2%
3622918743	1	6.2%
3592687702	1	6.2%
3591507613	1	6.2%
3566963815	1	6.2%
3525684244	1	6.2%

Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

42789953651	1
51453373234	1
62136590755	1
78840802820	1
96601666753	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	42789953651
2nd row	51453373234
3rd row	62136590755
4th row	78840802820
5th row	96601666753

Common Values

Value	Count	Frequency (%)
42789953651	1	6.2%
51453373234	1	6.2%
62136590755	1	6.2%
78840802820	1	6.2%
96601666753	1	6.2%
1,05523E+11	1	6.2%
1,25286E+11	1	6.2%
1,45128E+11	1	6.2%
1,6407E+11	1	6.2%
1,82109E+11	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
42789953651	1	6.2%
51453373234	1	6.2%
62136590755	1	6.2%
78840802820	1	6.2%
96601666753	1	6.2%
1,05523e+11	1	6.2%
1,25286e+11	1	6.2%
1,45128e+11	1	6.2%
1,6407e+11	1	6.2%
1,82109e+11	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	37	21.1%
3	17	9.7%
2	16	9.1%
5	16	9.1%
6	11	6.3%
0	11	6.3%
,	11	6.3%
E	11	6.3%
+	11	6.3%
4	10	5.7%
Other values (3)	24	13.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	142	81.1%
Other Punctuation	11	6.3%
Uppercase Letter	11	6.3%
Math Symbol	11	6.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	37	26.1%
3	17	12.0%
2	16	11.3%
5	16	11.3%
6	11	7.7%
0	11	7.7%
4	10	7.0%
8	10	7.0%
9	8	5.6%
7	6	4.2%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	11	100.0%

Math Symbol

Value	Count	Frequency (%)
+	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	164	93.7%
Latin	11	6.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	37	22.6%
3	17	10.4%
2	16	9.8%
5	16	9.8%
6	11	6.7%
0	11	6.7%
,	11	6.7%
+	11	6.7%
4	10	6.1%
8	10	6.1%
Other values (2)	14	8.5%

Latin

Value	Count	Frequency (%)
E	11	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	37	21.1%
3	17	9.7%
2	16	9.1%
5	16	9.1%
6	11	6.3%
0	11	6.3%
,	11	6.3%
E	11	6.3%
+	11	6.3%
4	10	5.7%
Other values (3)	24	13.7%

Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

1,15955E+12	1
1,20604E+12	1
1,33768E+12	1
1,50972E+12	1
1,56427E+12	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	1,15955E+12
2nd row	1,20604E+12
3rd row	1,33768E+12
4th row	1,50972E+12
5th row	1,56427E+12

Common Values

Value	Count	Frequency (%)
1,15955E+12	1	6.2%
1,20604E+12	1	6.2%
1,33768E+12	1	6.2%
1,50972E+12	1	6.2%
1,56427E+12	1	6.2%
1,6484E+12	1	6.2%
1,75048E+12	1	6.2%
1,75775E+12	1	6.2%
1,75559E+12	1	6.2%
1,75419E+12	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,15955e+12	1	6.2%
1,20604e+12	1	6.2%
1,33768e+12	1	6.2%
1,50972e+12	1	6.2%
1,56427e+12	1	6.2%
1,6484e+12	1	6.2%
1,75048e+12	1	6.2%
1,75775e+12	1	6.2%
1,75559e+12	1	6.2%
1,75419e+12	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	37	21.1%
2	21	12.0%
,	16	9.1%
5	16	9.1%
E	16	9.1%
+	16	9.1%
9	11	6.3%
7	11	6.3%
4	8	4.6%
8	8	4.6%
Other values (3)	15	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127	72.6%
Other Punctuation	16	9.1%
Uppercase Letter	16	9.1%
Math Symbol	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	37	29.1%
2	21	16.5%
5	16	12.6%
9	11	8.7%
7	11	8.7%
4	8	6.3%
8	8	6.3%
6	6	4.7%
0	5	3.9%
3	4	3.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159	90.9%
Latin	16	9.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	37	23.3%
2	21	13.2%
,	16	10.1%
5	16	10.1%
+	16	10.1%
9	11	6.9%
7	11	6.9%
4	8	5.0%
8	8	5.0%
6	6	3.8%
Other values (2)	9	5.7%

Latin

Value	Count	Frequency (%)
E	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	37	21.1%
2	21	12.0%
,	16	9.1%
5	16	9.1%
E	16	9.1%
+	16	9.1%
9	11	6.3%
7	11	6.3%
4	8	4.6%
8	8	4.6%
Other values (3)	15	8.6%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Germany [DEU]
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	68.8%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

8,3	5
9,5	2
8,2	1
8,1	1
8,4	1
Other values (6)	6

Length

Max length	3
Median length	3
Mean length	2.875
Min length	1

Characters and Unicode

Total characters	46
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	56.2%

Sample

1st row	8,3
2nd row	8,2
3rd row	8,3
4th row	8,3
5th row	8,1

Common Values

Value	Count	Frequency (%)
8,3	5	31.2%
9,5	2	12.5%
8,2	1	6.2%
8,1	1	6.2%
8,4	1	6.2%
8,5	1	6.2%
8,8	1	6.2%
9	1	6.2%
9,6	1	6.2%
9,4	1	6.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8,3	5	31.2%
9,5	2	12.5%
8,2	1	6.2%
8,1	1	6.2%
8,4	1	6.2%
8,5	1	6.2%
8,8	1	6.2%
9	1	6.2%
9,6	1	6.2%
9,4	1	6.2%

Most occurring characters

Value	Count	Frequency (%)
,	15	32.6%
8	11	23.9%
3	6	13.0%
9	6	13.0%
5	3	6.5%
4	2	4.3%
2	1	2.2%
1	1	2.2%
6	1	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	31	67.4%
Other Punctuation	15	32.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	11	35.5%
3	6	19.4%
9	6	19.4%
5	3	9.7%
4	2	6.5%
2	1	3.2%
1	1	3.2%
6	1	3.2%

Other Punctuation

Value	Count	Frequency (%)
,	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	46	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	15	32.6%
8	11	23.9%
3	6	13.0%
9	6	13.0%
5	3	6.5%
4	2	4.3%
2	1	2.2%
1	1	2.2%
6	1	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	15	32.6%
8	11	23.9%
3	6	13.0%
9	6	13.0%
5	3	6.5%
4	2	4.3%
2	1	2.2%
1	1	2.2%
6	1	2.2%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - France [FRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

12,8	3
12,9	2
12,4	2
13,1	1
12,7	1
Other values (7)	7

Length

Max length	4
Median length	4
Mean length	3.875
Min length	2

Characters and Unicode

Total characters	62
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	56.2%

Sample

1st row	12,8
2nd row	13,1
3rd row	12,8
4th row	12,9
5th row	12,8

Common Values

Value	Count	Frequency (%)
12,8	3	18.8%
12,9	2	12.5%
12,4	2	12.5%
13,1	1	6.2%
12,7	1	6.2%
12,6	1	6.2%
12	1	6.2%
11,8	1	6.2%
11,5	1	6.2%
11,3	1	6.2%
Other values (2)	2	12.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12,8	3	18.8%
12,9	2	12.5%
12,4	2	12.5%
13,1	1	6.2%
12,7	1	6.2%
12,6	1	6.2%
12	1	6.2%
11,8	1	6.2%
11,5	1	6.2%
11,3	1	6.2%
Other values (2)	2	12.5%

Most occurring characters

Value	Count	Frequency (%)
1	21	33.9%
,	15	24.2%
2	11	17.7%
8	4	6.5%
9	3	4.8%
4	2	3.2%
3	2	3.2%
7	1	1.6%
6	1	1.6%
5	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	47	75.8%
Other Punctuation	15	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	21	44.7%
2	11	23.4%
8	4	8.5%
9	3	6.4%
4	2	4.3%
3	2	4.3%
7	1	2.1%
6	1	2.1%
5	1	2.1%
0	1	2.1%

Other Punctuation

Value	Count	Frequency (%)
,	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	21	33.9%
,	15	24.2%
2	11	17.7%
8	4	6.5%
9	3	4.8%
4	2	3.2%
3	2	3.2%
7	1	1.6%
6	1	1.6%
5	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	21	33.9%
,	15	24.2%
2	11	17.7%
8	4	6.5%
9	3	4.8%
4	2	3.2%
3	2	3.2%
7	1	1.6%
6	1	1.6%
5	1	1.6%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Italy [ITA]
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	87.5%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

9,6	3
9,7	1
9,8	1
9,5	1
9,2	1
Other values (9)	9

Length

Max length	3
Median length	3
Mean length	2.625
Min length	1

Characters and Unicode

Total characters	42
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	81.2%

Sample

1st row	9,6
2nd row	9,6
3rd row	9,7
4th row	9,8
5th row	9,6

Common Values

Value	Count	Frequency (%)
9,6	3	18.8%
9,7	1	6.2%
9,8	1	6.2%
9,5	1	6.2%
9,2	1	6.2%
9	1	6.2%
8,5	1	6.2%
8,3	1	6.2%
8	1	6.2%
7,8	1	6.2%
Other values (4)	4	25.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
9,6	3	18.8%
9,7	1	6.2%
9,8	1	6.2%
9,5	1	6.2%
9,2	1	6.2%
9	1	6.2%
8,5	1	6.2%
8,3	1	6.2%
8	1	6.2%
7,8	1	6.2%
Other values (4)	4	25.0%

Most occurring characters

Value	Count	Frequency (%)
,	13	31.0%
9	8	19.0%
8	6	14.3%
6	5	11.9%
7	5	11.9%
5	2	4.8%
3	2	4.8%
2	1	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29	69.0%
Other Punctuation	13	31.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	8	27.6%
8	6	20.7%
6	5	17.2%
7	5	17.2%
5	2	6.9%
3	2	6.9%
2	1	3.4%

Other Punctuation

Value	Count	Frequency (%)
,	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	42	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	13	31.0%
9	8	19.0%
8	6	14.3%
6	5	11.9%
7	5	11.9%
5	2	4.8%
3	2	4.8%
2	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	13	31.0%
9	8	19.0%
8	6	14.3%
6	5	11.9%
7	5	11.9%
5	2	4.8%
3	2	4.8%
2	1	2.4%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Japan [JPN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	13
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

8,5	2
8,2	2
8	2
8,41	1
8,65	1
Other values (8)	8

Length

Max length	4
Median length	3
Mean length	2.8125
Min length	1

Characters and Unicode

Total characters	45
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	62.5%

Sample

1st row	8,41
2nd row	8,65
3rd row	8,63
4th row	8,7
5th row	8,5

Common Values

Value	Count	Frequency (%)
8,5	2	12.5%
8,2	2	12.5%
8	2	12.5%
8,41	1	6.2%
8,65	1	6.2%
8,63	1	6.2%
8,7	1	6.2%
8,3	1	6.2%
7,8	1	6.2%
7,6	1	6.2%
Other values (3)	3	18.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8,5	2	12.5%
8,2	2	12.5%
8	2	12.5%
8,41	1	6.2%
8,65	1	6.2%
8,63	1	6.2%
8,7	1	6.2%
8,3	1	6.2%
7,8	1	6.2%
7,6	1	6.2%
Other values (3)	3	18.8%

Most occurring characters

Value	Count	Frequency (%)
8	13	28.9%
,	13	28.9%
7	5	11.1%
6	4	8.9%
5	3	6.7%
2	2	4.4%
4	2	4.4%
3	2	4.4%
1	1	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32	71.1%
Other Punctuation	13	28.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	13	40.6%
7	5	15.6%
6	4	12.5%
5	3	9.4%
2	2	6.2%
4	2	6.2%
3	2	6.2%
1	1	3.1%

Other Punctuation

Value	Count	Frequency (%)
,	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	45	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	13	28.9%
,	13	28.9%
7	5	11.1%
6	4	8.9%
5	3	6.7%
2	2	4.4%
4	2	4.4%
3	2	4.4%
1	1	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	13	28.9%
,	13	28.9%
7	5	11.1%
6	4	8.9%
5	3	6.7%
2	2	4.4%
4	2	4.4%
3	2	4.4%
1	1	2.2%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Canada [CAN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	13
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

10,6	2
11	2
10,8	2
10,9	1
11,2	1
Other values (8)	8

Length

Max length	4
Median length	4
Mean length	3.625
Min length	2

Characters and Unicode

Total characters	58
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	62.5%

Sample

1st row	10,6
2nd row	10,9
3rd row	11,2
4th row	11,4
5th row	11,3

Common Values

Value	Count	Frequency (%)
10,6	2	12.5%
11	2	12.5%
10,8	2	12.5%
10,9	1	6.2%
11,2	1	6.2%
11,4	1	6.2%
11,3	1	6.2%
11,1	1	6.2%
10,7	1	6.2%
10,3	1	6.2%
Other values (3)	3	18.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10,6	2	12.5%
11	2	12.5%
10,8	2	12.5%
10,9	1	6.2%
11,2	1	6.2%
11,4	1	6.2%
11,3	1	6.2%
11,1	1	6.2%
10,7	1	6.2%
10,3	1	6.2%
Other values (3)	3	18.8%

Most occurring characters

Value	Count	Frequency (%)
1	22	37.9%
,	14	24.1%
0	8	13.8%
9	4	6.9%
6	2	3.4%
8	2	3.4%
4	2	3.4%
3	2	3.4%
2	1	1.7%
7	1	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	44	75.9%
Other Punctuation	14	24.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	22	50.0%
0	8	18.2%
9	4	9.1%
6	2	4.5%
8	2	4.5%
4	2	4.5%
3	2	4.5%
2	1	2.3%
7	1	2.3%

Other Punctuation

Value	Count	Frequency (%)
,	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	22	37.9%
,	14	24.1%
0	8	13.8%
9	4	6.9%
6	2	3.4%
8	2	3.4%
4	2	3.4%
3	2	3.4%
2	1	1.7%
7	1	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	22	37.9%
,	14	24.1%
0	8	13.8%
9	4	6.9%
6	2	3.4%
8	2	3.4%
4	2	3.4%
3	2	3.4%
2	1	1.7%
7	1	1.7%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Russian Federation [RUS]
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	87.5%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

13,3	3
10,2	1
10,3	1
11,3	1
12	1
Other values (9)	9

Length

Max length	4
Median length	4
Mean length	3.8125
Min length	2

Characters and Unicode

Total characters	61
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	81.2%

Sample

1st row	10,2
2nd row	10,3
3rd row	11,3
4th row	12
5th row	12,3

Common Values

Value	Count	Frequency (%)
13,3	3	18.8%
10,2	1	6.2%
10,3	1	6.2%
11,3	1	6.2%
12	1	6.2%
12,3	1	6.2%
12,5	1	6.2%
12,6	1	6.2%
13,2	1	6.2%
12,9	1	6.2%
Other values (4)	4	25.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
13,3	3	18.8%
10,2	1	6.2%
10,3	1	6.2%
11,3	1	6.2%
12	1	6.2%
12,3	1	6.2%
12,5	1	6.2%
12,6	1	6.2%
13,2	1	6.2%
12,9	1	6.2%
Other values (4)	4	25.0%

Most occurring characters

Value	Count	Frequency (%)
1	18	29.5%
,	15	24.6%
3	10	16.4%
2	7	11.5%
0	4	6.6%
9	3	4.9%
5	2	3.3%
6	1	1.6%
8	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	46	75.4%
Other Punctuation	15	24.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18	39.1%
3	10	21.7%
2	7	15.2%
0	4	8.7%
9	3	6.5%
5	2	4.3%
6	1	2.2%
8	1	2.2%

Other Punctuation

Value	Count	Frequency (%)
,	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	61	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18	29.5%
,	15	24.6%
3	10	16.4%
2	7	11.5%
0	4	6.6%
9	3	4.9%
5	2	3.3%
6	1	1.6%
8	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18	29.5%
,	15	24.6%
3	10	16.4%
2	7	11.5%
0	4	6.6%
9	3	4.9%
5	2	3.3%
6	1	1.6%
8	1	1.6%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	13
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

14	2
14,3	2
12,4	2
13,5	1
13	1
Other values (8)	8

Length

Max length	4
Median length	4
Mean length	3.625
Min length	2

Characters and Unicode

Total characters	58
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	62.5%

Sample

1st row	14
2nd row	14,3
3rd row	14,3
4th row	14
5th row	13,5

Common Values

Value	Count	Frequency (%)
14	2	12.5%
14,3	2	12.5%
12,4	2	12.5%
13,5	1	6.2%
13	1	6.2%
12,7	1	6.2%
12,6	1	6.2%
12,5	1	6.2%
12,2	1	6.2%
11,8	1	6.2%
Other values (3)	3	18.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
14	2	12.5%
14,3	2	12.5%
12,4	2	12.5%
13,5	1	6.2%
13	1	6.2%
12,7	1	6.2%
12,6	1	6.2%
12,5	1	6.2%
12,2	1	6.2%
11,8	1	6.2%
Other values (3)	3	18.8%

Most occurring characters

Value	Count	Frequency (%)
1	19	32.8%
,	13	22.4%
4	7	12.1%
2	7	12.1%
3	4	6.9%
5	2	3.4%
6	2	3.4%
7	1	1.7%
8	1	1.7%
0	1	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	45	77.6%
Other Punctuation	13	22.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	19	42.2%
4	7	15.6%
2	7	15.6%
3	4	8.9%
5	2	4.4%
6	2	4.4%
7	1	2.2%
8	1	2.2%
0	1	2.2%
9	1	2.2%

Other Punctuation

Value	Count	Frequency (%)
,	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	19	32.8%
,	13	22.4%
4	7	12.1%
2	7	12.1%
3	4	6.9%
5	2	3.4%
6	2	3.4%
7	1	1.7%
8	1	1.7%
0	1	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	19	32.8%
,	13	22.4%
4	7	12.1%
2	7	12.1%
3	4	6.9%
5	2	3.4%
6	2	3.4%
7	1	1.7%
8	1	1.7%
0	1	1.7%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United Kingdom [GBR]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	13
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

12	2
12,9	2
12,8	2
12,3	1
12,6	1
Other values (8)	8

Length

Max length	4
Median length	4
Mean length	3.625
Min length	2

Characters and Unicode

Total characters	58
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	62.5%

Sample

1st row	12
2nd row	12,3
3rd row	12,6
4th row	12,9
5th row	12,7

Common Values

Value	Count	Frequency (%)
12	2	12.5%
12,9	2	12.5%
12,8	2	12.5%
12,3	1	6.2%
12,6	1	6.2%
12,7	1	6.2%
12,1	1	6.2%
11,9	1	6.2%
11,8	1	6.2%
11,4	1	6.2%
Other values (3)	3	18.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12	2	12.5%
12,9	2	12.5%
12,8	2	12.5%
12,3	1	6.2%
12,6	1	6.2%
12,7	1	6.2%
12,1	1	6.2%
11,9	1	6.2%
11,8	1	6.2%
11,4	1	6.2%
Other values (3)	3	18.8%

Most occurring characters

Value	Count	Frequency (%)
1	21	36.2%
,	13	22.4%
2	11	19.0%
9	3	5.2%
8	3	5.2%
7	2	3.4%
0	2	3.4%
3	1	1.7%
6	1	1.7%
4	1	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	45	77.6%
Other Punctuation	13	22.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	21	46.7%
2	11	24.4%
9	3	6.7%
8	3	6.7%
7	2	4.4%
0	2	4.4%
3	1	2.2%
6	1	2.2%
4	1	2.2%

Other Punctuation

Value	Count	Frequency (%)
,	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	21	36.2%
,	13	22.4%
2	11	19.0%
9	3	5.2%
8	3	5.2%
7	2	3.4%
0	2	3.4%
3	1	1.7%
6	1	1.7%
4	1	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	21	36.2%
,	13	22.4%
2	11	19.0%
9	3	5.2%
8	3	5.2%
7	2	3.4%
0	2	3.4%
3	1	1.7%
6	1	1.7%
4	1	1.7%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

17,243	1
16,747	1
16,306	1
15,921	1
15,595	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.875
Min length	5

Characters and Unicode

Total characters	94
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	17,243
2nd row	16,747
3rd row	16,306
4th row	15,921
5th row	15,595

Common Values

Value	Count	Frequency (%)
17,243	1	6.2%
16,747	1	6.2%
16,306	1	6.2%
15,921	1	6.2%
15,595	1	6.2%
15,327	1	6.2%
15,11	1	6.2%
14,93	1	6.2%
14,772	1	6.2%
14,624	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
17,243	1	6.2%
16,747	1	6.2%
16,306	1	6.2%
15,921	1	6.2%
15,595	1	6.2%
15,327	1	6.2%
15,11	1	6.2%
14,93	1	6.2%
14,772	1	6.2%
14,624	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	20	21.3%
,	16	17.0%
4	12	12.8%
3	10	10.6%
7	9	9.6%
2	8	8.5%
5	7	7.4%
6	5	5.3%
9	4	4.3%
0	3	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	78	83.0%
Other Punctuation	16	17.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	20	25.6%
4	12	15.4%
3	10	12.8%
7	9	11.5%
2	8	10.3%
5	7	9.0%
6	5	6.4%
9	4	5.1%
0	3	3.8%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	94	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	20	21.3%
,	16	17.0%
4	12	12.8%
3	10	10.6%
7	9	9.6%
2	8	8.5%
5	7	7.4%
6	5	5.3%
9	4	4.3%
0	3	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	20	21.3%
,	16	17.0%
4	12	12.8%
3	10	10.6%
7	9	9.6%
2	8	8.5%
5	7	7.4%
6	5	5.3%
9	4	4.3%
0	3	3.2%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

24,087	1
23,564	1
22,996	1
22,39	1
21,755	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.9375
Min length	5

Characters and Unicode

Total characters	95
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	24,087
2nd row	23,564
3rd row	22,996
4th row	22,39
5th row	21,755

Common Values

Value	Count	Frequency (%)
24,087	1	6.2%
23,564	1	6.2%
22,996	1	6.2%
22,39	1	6.2%
21,755	1	6.2%
21,114	1	6.2%
20,495	1	6.2%
19,923	1	6.2%
19,416	1	6.2%
18,984	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
24,087	1	6.2%
23,564	1	6.2%
22,996	1	6.2%
22,39	1	6.2%
21,755	1	6.2%
21,114	1	6.2%
20,495	1	6.2%
19,923	1	6.2%
19,416	1	6.2%
18,984	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
,	16	16.8%
1	14	14.7%
2	12	12.6%
4	9	9.5%
8	8	8.4%
9	8	8.4%
7	7	7.4%
3	7	7.4%
5	6	6.3%
6	5	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	79	83.2%
Other Punctuation	16	16.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14	17.7%
2	12	15.2%
4	9	11.4%
8	8	10.1%
9	8	10.1%
7	7	8.9%
3	7	8.9%
5	6	7.6%
6	5	6.3%
0	3	3.8%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	95	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	16	16.8%
1	14	14.7%
2	12	12.6%
4	9	9.5%
8	8	8.4%
9	8	8.4%
7	7	7.4%
3	7	7.4%
5	6	6.3%
6	5	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	16	16.8%
1	14	14.7%
2	12	12.6%
4	9	9.5%
8	8	8.4%
9	8	8.4%
7	7	7.4%
3	7	7.4%
5	6	6.3%
6	5	5.3%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

21,741	1
21,343	1
20,973	1
20,635	1
20,327	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	96
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	21,741
2nd row	21,343
3rd row	20,973
4th row	20,635
5th row	20,327

Common Values

Value	Count	Frequency (%)
21,741	1	6.2%
21,343	1	6.2%
20,973	1	6.2%
20,635	1	6.2%
20,327	1	6.2%
20,042	1	6.2%
19,766	1	6.2%
19,488	1	6.2%
19,198	1	6.2%
18,892	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21,741	1	6.2%
21,343	1	6.2%
20,973	1	6.2%
20,635	1	6.2%
20,327	1	6.2%
20,042	1	6.2%
19,766	1	6.2%
19,488	1	6.2%
19,198	1	6.2%
18,892	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
,	16	16.7%
1	15	15.6%
2	12	12.5%
7	10	10.4%
0	8	8.3%
9	8	8.3%
8	8	8.3%
3	6	6.2%
4	5	5.2%
6	4	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	83.3%
Other Punctuation	16	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	15	18.8%
2	12	15.0%
7	10	12.5%
0	8	10.0%
9	8	10.0%
8	8	10.0%
3	6	7.5%
4	5	6.2%
6	4	5.0%
5	4	5.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	16	16.7%
1	15	15.6%
2	12	12.5%
7	10	10.4%
0	8	8.3%
9	8	8.3%
8	8	8.3%
3	6	6.2%
4	5	5.2%
6	4	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	16	16.7%
1	15	15.6%
2	12	12.5%
7	10	10.4%
0	8	8.3%
9	8	8.3%
8	8	8.3%
3	6	6.2%
4	5	5.2%
6	4	4.2%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

23,073	1
23,238	1
23,367	1
23,433	1
23,417	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.9375
Min length	5

Characters and Unicode

Total characters	95
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	23,073
2nd row	23,238
3rd row	23,367
4th row	23,433
5th row	23,417

Common Values

Value	Count	Frequency (%)
23,073	1	6.2%
23,238	1	6.2%
23,367	1	6.2%
23,433	1	6.2%
23,417	1	6.2%
23,305	1	6.2%
23,097	1	6.2%
22,815	1	6.2%
22,483	1	6.2%
22,113	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
23,073	1	6.2%
23,238	1	6.2%
23,367	1	6.2%
23,433	1	6.2%
23,417	1	6.2%
23,305	1	6.2%
23,097	1	6.2%
22,815	1	6.2%
22,483	1	6.2%
22,113	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
2	20	21.1%
3	17	17.9%
,	16	16.8%
1	11	11.6%
0	7	7.4%
7	7	7.4%
9	5	5.3%
8	4	4.2%
4	4	4.2%
5	3	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	79	83.2%
Other Punctuation	16	16.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	20	25.3%
3	17	21.5%
1	11	13.9%
0	7	8.9%
7	7	8.9%
9	5	6.3%
8	4	5.1%
4	4	5.1%
5	3	3.8%
6	1	1.3%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	95	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	20	21.1%
3	17	17.9%
,	16	16.8%
1	11	11.6%
0	7	7.4%
7	7	7.4%
9	5	5.3%
8	4	4.2%
4	4	4.2%
5	3	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	20	21.1%
3	17	17.9%
,	16	16.8%
1	11	11.6%
0	7	7.4%
7	7	7.4%
9	5	5.3%
8	4	4.2%
4	4	4.2%
5	3	3.2%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

12,4	1
12,09	1
12,1	1
12,14	1
11,95	1
Other values (11)	11

Length

Max length	5
Median length	5
Mean length	4.75
Min length	4

Characters and Unicode

Total characters	76
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	12,4
2nd row	12,09
3rd row	12,1
4th row	12,14
5th row	11,95

Common Values

Value	Count	Frequency (%)
12,4	1	6.2%
12,09	1	6.2%
12,1	1	6.2%
12,14	1	6.2%
11,95	1	6.2%
11,9	1	6.2%
13,27	1	6.2%
14,57	1	6.2%
13,03	1	6.2%
13,83	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12,4	1	6.2%
12,09	1	6.2%
12,1	1	6.2%
12,14	1	6.2%
11,95	1	6.2%
11,9	1	6.2%
13,27	1	6.2%
14,57	1	6.2%
13,03	1	6.2%
13,83	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	21	27.6%
,	16	21.1%
2	7	9.2%
3	6	7.9%
4	5	6.6%
9	5	6.6%
0	4	5.3%
5	4	5.3%
7	3	3.9%
8	3	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60	78.9%
Other Punctuation	16	21.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	21	35.0%
2	7	11.7%
3	6	10.0%
4	5	8.3%
9	5	8.3%
0	4	6.7%
5	4	6.7%
7	3	5.0%
8	3	5.0%
6	2	3.3%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	76	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	21	27.6%
,	16	21.1%
2	7	9.2%
3	6	7.9%
4	5	6.6%
9	5	6.6%
0	4	5.3%
5	4	5.3%
7	3	3.9%
8	3	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	21	27.6%
,	16	21.1%
2	7	9.2%
3	6	7.9%
4	5	6.6%
9	5	6.6%
0	4	5.3%
5	4	5.3%
7	3	3.9%
8	3	3.9%

Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

20,55193051	1
20,39775655	1
20,30710105	1
20,19625896	1
19,96785143	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	176
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	20,55193051
2nd row	20,39775655
3rd row	20,30710105
4th row	20,19625896
5th row	19,96785143

Common Values

Value	Count	Frequency (%)
20,55193051	1	6.2%
20,39775655	1	6.2%
20,30710105	1	6.2%
20,19625896	1	6.2%
19,96785143	1	6.2%
19,77870117	1	6.2%
19,85467053	1	6.2%
19,95405818	1	6.2%
19,45244784	1	6.2%
19,46419186	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20,55193051	1	6.2%
20,39775655	1	6.2%
20,30710105	1	6.2%
20,19625896	1	6.2%
19,96785143	1	6.2%
19,77870117	1	6.2%
19,85467053	1	6.2%
19,95405818	1	6.2%
19,45244784	1	6.2%
19,46419186	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	30	17.0%
5	19	10.8%
7	17	9.7%
,	16	9.1%
9	16	9.1%
8	16	9.1%
0	15	8.5%
2	14	8.0%
4	14	8.0%
6	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	30	18.8%
5	19	11.9%
7	17	10.6%
9	16	10.0%
8	16	10.0%
0	15	9.4%
2	14	8.8%
4	14	8.8%
6	10	6.2%
3	9	5.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	30	17.0%
5	19	10.8%
7	17	9.7%
,	16	9.1%
9	16	9.1%
8	16	9.1%
0	15	8.5%
2	14	8.0%
4	14	8.0%
6	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	30	17.0%
5	19	10.8%
7	17	9.7%
,	16	9.1%
9	16	9.1%
8	16	9.1%
0	15	8.5%
2	14	8.0%
4	14	8.0%
6	10	5.7%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

78,93170732	1
79,13170732	1
79,53414634	1
79,73658537	1
79,83658537	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	10

Characters and Unicode

Total characters	173
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	78,93170732
2nd row	79,13170732
3rd row	79,53414634
4th row	79,73658537
5th row	79,83658537

Common Values

Value	Count	Frequency (%)
78,93170732	1	6.2%
79,13170732	1	6.2%
79,53414634	1	6.2%
79,73658537	1	6.2%
79,83658537	1	6.2%
79,98780488	1	6.2%
80,43658537	1	6.2%
80,53902439	1	6.2%
80,4902439	1	6.2%
81,0902439	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
78,93170732	1	6.2%
79,13170732	1	6.2%
79,53414634	1	6.2%
79,73658537	1	6.2%
79,83658537	1	6.2%
79,98780488	1	6.2%
80,43658537	1	6.2%
80,53902439	1	6.2%
80,4902439	1	6.2%
81,0902439	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
9	24	13.9%
8	23	13.3%
3	22	12.7%
,	16	9.2%
0	16	9.2%
4	16	9.2%
7	15	8.7%
2	13	7.5%
1	10	5.8%
6	10	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	24	15.3%
8	23	14.6%
3	22	14.0%
0	16	10.2%
4	16	10.2%
7	15	9.6%
2	13	8.3%
1	10	6.4%
6	10	6.4%
5	8	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	173	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	24	13.9%
8	23	13.3%
3	22	12.7%
,	16	9.2%
0	16	9.2%
4	16	9.2%
7	15	8.7%
2	13	7.5%
1	10	5.8%
6	10	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	24	13.9%
8	23	13.3%
3	22	12.7%
,	16	9.2%
0	16	9.2%
4	16	9.2%
7	15	8.7%
2	13	7.5%
1	10	5.8%
6	10	5.8%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

80,16341463	1
80,81219512	1
81,11219512	1
81,21463415	1
81,41463415	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	80,16341463
2nd row	80,81219512
3rd row	81,11219512
4th row	81,21463415
5th row	81,41463415

Common Values

Value	Count	Frequency (%)
80,16341463	1	6.2%
80,81219512	1	6.2%
81,11219512	1	6.2%
81,21463415	1	6.2%
81,41463415	1	6.2%
81,66341463	1	6.2%
82,11463415	1	6.2%
81,96829268	1	6.2%
82,2195122	1	6.2%
82,7195122	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
80,16341463	1	6.2%
80,81219512	1	6.2%
81,11219512	1	6.2%
81,21463415	1	6.2%
81,41463415	1	6.2%
81,66341463	1	6.2%
82,11463415	1	6.2%
81,96829268	1	6.2%
82,2195122	1	6.2%
82,7195122	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
1	30	17.2%
2	27	15.5%
8	21	12.1%
6	18	10.3%
,	16	9.2%
5	13	7.5%
4	11	6.3%
9	11	6.3%
7	11	6.3%
3	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	30	19.0%
2	27	17.1%
8	21	13.3%
6	18	11.4%
5	13	8.2%
4	11	7.0%
9	11	7.0%
7	11	7.0%
3	10	6.3%
0	6	3.8%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	30	17.2%
2	27	15.5%
8	21	12.1%
6	18	10.3%
,	16	9.2%
5	13	7.5%
4	11	6.3%
9	11	6.3%
7	11	6.3%
3	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	30	17.2%
2	27	15.5%
8	21	12.1%
6	18	10.3%
,	16	9.2%
5	13	7.5%
4	11	6.3%
9	11	6.3%
7	11	6.3%
3	10	5.7%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

80,78292683	1
81,28292683	1
81,43414634	1
81,48536585	1
81,63658537	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.875
Min length	10

Characters and Unicode

Total characters	174
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	80,78292683
2nd row	81,28292683
3rd row	81,43414634
4th row	81,48536585
5th row	81,63658537

Common Values

Value	Count	Frequency (%)
80,78292683	1	6.2%
81,28292683	1	6.2%
81,43414634	1	6.2%
81,48536585	1	6.2%
81,63658537	1	6.2%
82,03658537	1	6.2%
82,18780488	1	6.2%
82,23902439	1	6.2%
82,6902439	1	6.2%
83,0902439	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
80,78292683	1	6.2%
81,28292683	1	6.2%
81,43414634	1	6.2%
81,48536585	1	6.2%
81,63658537	1	6.2%
82,03658537	1	6.2%
82,18780488	1	6.2%
82,23902439	1	6.2%
82,6902439	1	6.2%
83,0902439	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
8	29	16.7%
4	25	14.4%
3	24	13.8%
2	20	11.5%
,	16	9.2%
9	14	8.0%
6	13	7.5%
0	11	6.3%
5	9	5.2%
1	8	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	29	18.4%
4	25	15.8%
3	24	15.2%
2	20	12.7%
9	14	8.9%
6	13	8.2%
0	11	7.0%
5	9	5.7%
1	8	5.1%
7	5	3.2%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	29	16.7%
4	25	14.4%
3	24	13.8%
2	20	11.5%
,	16	9.2%
9	14	8.0%
6	13	7.5%
0	11	6.3%
5	9	5.2%
1	8	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	29	16.7%
4	25	14.4%
3	24	13.8%
2	20	11.5%
,	16	9.2%
9	14	8.0%
6	13	7.5%
0	11	6.3%
5	9	5.2%
1	8	4.6%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

81,92512195	1
82,32195122	1
82,50707317	1
82,58756098	1
82,93146341	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	81,92512195
2nd row	82,32195122
3rd row	82,50707317
4th row	82,58756098
5th row	82,93146341

Common Values

Value	Count	Frequency (%)
81,92512195	1	6.2%
82,32195122	1	6.2%
82,50707317	1	6.2%
82,58756098	1	6.2%
82,93146341	1	6.2%
82,84268293	1	6.2%
82,59121951	1	6.2%
83,09609756	1	6.2%
83,33195122	1	6.2%
83,58780488	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
81,92512195	1	6.2%
82,32195122	1	6.2%
82,50707317	1	6.2%
82,58756098	1	6.2%
82,93146341	1	6.2%
82,84268293	1	6.2%
82,59121951	1	6.2%
83,09609756	1	6.2%
83,33195122	1	6.2%
83,58780488	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
8	27	15.4%
1	18	10.3%
9	18	10.3%
2	18	10.3%
,	16	9.1%
5	16	9.1%
3	15	8.6%
4	13	7.4%
6	12	6.9%
0	11	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	27	17.0%
1	18	11.3%
9	18	11.3%
2	18	11.3%
5	16	10.1%
3	15	9.4%
4	13	8.2%
6	12	7.5%
0	11	6.9%
7	11	6.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	27	15.4%
1	18	10.3%
9	18	10.3%
2	18	10.3%
,	16	9.1%
5	16	9.1%
3	15	8.6%
4	13	7.4%
6	12	6.9%
0	11	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	27	15.4%
1	18	10.3%
9	18	10.3%
2	18	10.3%
,	16	9.1%
5	16	9.1%
3	15	8.6%
4	13	7.4%
6	12	6.9%
0	11	6.3%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Canada [CAN]
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

81,9	3
81,74878049	2
82,04878049	2
80,19268293	1
80,34390244	1
Other values (7)	7

Length

Max length	11
Median length	11
Mean length	9.25
Min length	4

Characters and Unicode

Total characters	148
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	56.2%

Sample

1st row	80,19268293
2nd row	80,34390244
3rd row	80,54390244
4th row	80,69512195
5th row	80,99512195

Common Values

Value	Count	Frequency (%)
81,9	3	18.8%
81,74878049	2	12.5%
82,04878049	2	12.5%
80,19268293	1	6.2%
80,34390244	1	6.2%
80,54390244	1	6.2%
80,69512195	1	6.2%
80,99512195	1	6.2%
81,24634146	1	6.2%
81,44878049	1	6.2%
Other values (2)	2	12.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
81,9	3	18.8%
81,74878049	2	12.5%
82,04878049	2	12.5%
80,19268293	1	6.2%
80,34390244	1	6.2%
80,54390244	1	6.2%
80,69512195	1	6.2%
80,99512195	1	6.2%
81,24634146	1	6.2%
81,44878049	1	6.2%
Other values (2)	2	12.5%

Most occurring characters

Value	Count	Frequency (%)
8	30	20.3%
4	22	14.9%
9	18	12.2%
,	16	10.8%
1	15	10.1%
0	15	10.1%
2	9	6.1%
7	8	5.4%
6	5	3.4%
3	5	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132	89.2%
Other Punctuation	16	10.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	30	22.7%
4	22	16.7%
9	18	13.6%
1	15	11.4%
0	15	11.4%
2	9	6.8%
7	8	6.1%
6	5	3.8%
3	5	3.8%
5	5	3.8%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	148	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	30	20.3%
4	22	14.9%
9	18	12.2%
,	16	10.8%
1	15	10.1%
0	15	10.1%
2	9	6.1%
7	8	5.4%
6	5	3.4%
3	5	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	148	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	30	20.3%
4	22	14.9%
9	18	12.2%
,	16	10.8%
1	15	10.1%
0	15	10.1%
2	9	6.1%
7	8	5.4%
6	5	3.4%
3	5	3.4%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

65,5297561	1
66,72756098	1
67,58682927	1
67,94926829	1
68,68463415	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	65,5297561
2nd row	66,72756098
3rd row	67,58682927
4th row	67,94926829
5th row	68,68463415

Common Values

Value	Count	Frequency (%)
65,5297561	1	6.2%
66,72756098	1	6.2%
67,58682927	1	6.2%
67,94926829	1	6.2%
68,68463415	1	6.2%
68,84121951	1	6.2%
69,68390244	1	6.2%
70,07219512	1	6.2%
70,57878049	1	6.2%
70,74365854	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
65,5297561	1	6.2%
66,72756098	1	6.2%
67,58682927	1	6.2%
67,94926829	1	6.2%
68,68463415	1	6.2%
68,84121951	1	6.2%
69,68390244	1	6.2%
70,07219512	1	6.2%
70,57878049	1	6.2%
70,74365854	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
6	21	12.0%
7	20	11.4%
1	19	10.9%
4	17	9.7%
,	16	9.1%
2	16	9.1%
8	16	9.1%
5	15	8.6%
9	15	8.6%
0	10	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	21	13.2%
7	20	12.6%
1	19	11.9%
4	17	10.7%
2	16	10.1%
8	16	10.1%
5	15	9.4%
9	15	9.4%
0	10	6.3%
3	10	6.3%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	21	12.0%
7	20	11.4%
1	19	10.9%
4	17	9.7%
,	16	9.1%
2	16	9.1%
8	16	9.1%
5	15	8.6%
9	15	8.6%
0	10	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	21	12.0%
7	20	11.4%
1	19	10.9%
4	17	9.7%
,	16	9.1%
2	16	9.1%
8	16	9.1%
5	15	8.6%
9	15	8.6%
0	10	5.7%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	14
Distinct (%)	87.5%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

78,74146341	2
78,53902439	2
77,48780488	1
77,68780488	1
77,98780488	1
Other values (9)	9

Length

Max length	11
Median length	11
Mean length	10.8125
Min length	10

Characters and Unicode

Total characters	173
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	75.0%

Sample

1st row	77,48780488
2nd row	77,68780488
3rd row	77,98780488
4th row	78,03902439
5th row	78,3902439

Common Values

Value	Count	Frequency (%)
78,74146341	2	12.5%
78,53902439	2	12.5%
77,48780488	1	6.2%
77,68780488	1	6.2%
77,98780488	1	6.2%
78,03902439	1	6.2%
78,3902439	1	6.2%
78,54146341	1	6.2%
78,64146341	1	6.2%
78,84146341	1	6.2%
Other values (4)	4	25.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
78,74146341	2	12.5%
78,53902439	2	12.5%
77,48780488	1	6.2%
77,68780488	1	6.2%
77,98780488	1	6.2%
78,03902439	1	6.2%
78,3902439	1	6.2%
78,54146341	1	6.2%
78,64146341	1	6.2%
78,84146341	1	6.2%
Other values (4)	4	25.0%

Most occurring characters

Value	Count	Frequency (%)
8	32	18.5%
7	28	16.2%
4	27	15.6%
,	16	9.2%
3	16	9.2%
9	13	7.5%
0	12	6.9%
1	10	5.8%
6	9	5.2%
2	7	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157	90.8%
Other Punctuation	16	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	32	20.4%
7	28	17.8%
4	27	17.2%
3	16	10.2%
9	13	8.3%
0	12	7.6%
1	10	6.4%
6	9	5.7%
2	7	4.5%
5	3	1.9%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	173	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	32	18.5%
7	28	16.2%
4	27	15.6%
,	16	9.2%
3	16	9.2%
9	13	7.5%
0	12	6.9%
1	10	5.8%
6	9	5.2%
2	7	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	173	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	32	18.5%
7	28	16.2%
4	27	15.6%
,	16	9.2%
3	16	9.2%
9	13	7.5%
0	12	6.9%
1	10	5.8%
6	9	5.2%
2	7	4.0%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United Kingdom [GBR]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	15
Distinct (%)	93.8%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

81,25609756	2
79,04878049	1
79,24878049	1
79,44878049	1
79,6	1
Other values (10)	10

Length

Max length	11
Median length	11
Mean length	10.5625
Min length	4

Characters and Unicode

Total characters	169
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	87.5%

Sample

1st row	79,04878049
2nd row	79,24878049
3rd row	79,44878049
4th row	79,6
5th row	80,05121951

Common Values

Value	Count	Frequency (%)
81,25609756	2	12.5%
79,04878049	1	6.2%
79,24878049	1	6.2%
79,44878049	1	6.2%
79,6	1	6.2%
80,05121951	1	6.2%
80,40243902	1	6.2%
80,95121951	1	6.2%
80,90487805	1	6.2%
81,00487805	1	6.2%
Other values (5)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
81,25609756	2	12.5%
79,04878049	1	6.2%
79,24878049	1	6.2%
79,44878049	1	6.2%
79,6	1	6.2%
80,05121951	1	6.2%
80,40243902	1	6.2%
80,95121951	1	6.2%
80,90487805	1	6.2%
81,00487805	1	6.2%
Other values (5)	5	31.2%

Most occurring characters

Value	Count	Frequency (%)
0	28	16.6%
8	26	15.4%
9	19	11.2%
,	16	9.5%
5	16	9.5%
7	15	8.9%
4	14	8.3%
1	13	7.7%
2	10	5.9%
6	9	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	153	90.5%
Other Punctuation	16	9.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28	18.3%
8	26	17.0%
9	19	12.4%
5	16	10.5%
7	15	9.8%
4	14	9.2%
1	13	8.5%
2	10	6.5%
6	9	5.9%
3	3	2.0%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	169	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28	16.6%
8	26	15.4%
9	19	11.2%
,	16	9.5%
5	16	9.5%
7	15	8.9%
4	14	8.3%
1	13	7.7%
2	10	5.9%
6	9	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	169	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28	16.6%
8	26	15.4%
9	19	11.2%
,	16	9.5%
5	16	9.5%
7	15	8.9%
4	14	8.3%
1	13	7.7%
2	10	5.9%
6	9	5.3%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

71,896	1
72,26	1
72,618	1
72,966	1
73,3	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.75
Min length	4

Characters and Unicode

Total characters	92
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	71,896
2nd row	72,26
3rd row	72,618
4th row	72,966
5th row	73,3

Common Values

Value	Count	Frequency (%)
71,896	1	6.2%
72,26	1	6.2%
72,618	1	6.2%
72,966	1	6.2%
73,3	1	6.2%
73,619	1	6.2%
73,921	1	6.2%
74,209	1	6.2%
74,483	1	6.2%
74,745	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
71,896	1	6.2%
72,26	1	6.2%
72,618	1	6.2%
72,966	1	6.2%
73,3	1	6.2%
73,619	1	6.2%
73,921	1	6.2%
74,209	1	6.2%
74,483	1	6.2%
74,745	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
7	18	19.6%
,	16	17.4%
6	9	9.8%
4	9	9.8%
2	8	8.7%
9	7	7.6%
8	6	6.5%
3	6	6.5%
5	6	6.5%
1	5	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76	82.6%
Other Punctuation	16	17.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	18	23.7%
6	9	11.8%
4	9	11.8%
2	8	10.5%
9	7	9.2%
8	6	7.9%
3	6	7.9%
5	6	7.9%
1	5	6.6%
0	2	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	92	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	18	19.6%
,	16	17.4%
6	9	9.8%
4	9	9.8%
2	8	8.7%
9	7	7.6%
8	6	6.5%
3	6	6.5%
5	6	6.5%
1	5	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	18	19.6%
,	16	17.4%
6	9	9.8%
4	9	9.8%
2	8	8.7%
9	7	7.6%
8	6	6.5%
3	6	6.5%
5	6	6.5%
1	5	5.4%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

64,5	1
64,918	1
65,35	1
65,794	1
66,244	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.75
Min length	4

Characters and Unicode

Total characters	92
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	64,5
2nd row	64,918
3rd row	65,35
4th row	65,794
5th row	66,244

Common Values

Value	Count	Frequency (%)
64,5	1	6.2%
64,918	1	6.2%
65,35	1	6.2%
65,794	1	6.2%
66,244	1	6.2%
66,693	1	6.2%
67,13	1	6.2%
67,545	1	6.2%
67,931	1	6.2%
68,286	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
64,5	1	6.2%
64,918	1	6.2%
65,35	1	6.2%
65,794	1	6.2%
66,244	1	6.2%
66,693	1	6.2%
67,13	1	6.2%
67,545	1	6.2%
67,931	1	6.2%
68,286	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
6	25	27.2%
,	16	17.4%
9	9	9.8%
5	8	8.7%
8	8	8.7%
4	7	7.6%
7	7	7.6%
1	5	5.4%
3	4	4.3%
2	2	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76	82.6%
Other Punctuation	16	17.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	25	32.9%
9	9	11.8%
5	8	10.5%
8	8	10.5%
4	7	9.2%
7	7	9.2%
1	5	6.6%
3	4	5.3%
2	2	2.6%
0	1	1.3%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	92	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	25	27.2%
,	16	17.4%
9	9	9.8%
5	8	8.7%
8	8	8.7%
4	7	7.6%
7	7	7.6%
1	5	5.4%
3	4	4.3%
2	2	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	25	27.2%
,	16	17.4%
9	9	9.8%
5	8	8.7%
8	8	8.7%
4	7	7.6%
7	7	7.6%
1	5	5.4%
3	4	4.3%
2	2	2.2%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

75,3	1
75,296	1
75,255	1
75,194	1
75,128	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.8125
Min length	4

Characters and Unicode

Total characters	93
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	75,3
2nd row	75,296
3rd row	75,255
4th row	75,194
5th row	75,128

Common Values

Value	Count	Frequency (%)
75,3	1	6.2%
75,296	1	6.2%
75,255	1	6.2%
75,194	1	6.2%
75,128	1	6.2%
75,065	1	6.2%
75,011	1	6.2%
74,966	1	6.2%
74,93	1	6.2%
74,908	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
75,3	1	6.2%
75,296	1	6.2%
75,255	1	6.2%
75,194	1	6.2%
75,128	1	6.2%
75,065	1	6.2%
75,011	1	6.2%
74,966	1	6.2%
74,93	1	6.2%
74,908	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
7	18	19.4%
,	16	17.2%
5	13	14.0%
4	11	11.8%
9	10	10.8%
1	7	7.5%
0	5	5.4%
2	4	4.3%
6	4	4.3%
3	3	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77	82.8%
Other Punctuation	16	17.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	18	23.4%
5	13	16.9%
4	11	14.3%
9	10	13.0%
1	7	9.1%
0	5	6.5%
2	4	5.2%
6	4	5.2%
3	3	3.9%
8	2	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	93	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	18	19.4%
,	16	17.2%
5	13	14.0%
4	11	11.8%
9	10	10.8%
1	7	7.5%
0	5	5.4%
2	4	4.3%
6	4	4.3%
3	3	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	93	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	18	19.4%
,	16	17.2%
5	13	14.0%
4	11	11.8%
9	10	10.8%
1	7	7.5%
0	5	5.4%
2	4	4.3%
6	4	4.3%
3	3	3.2%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

53,447	1
53,795	1
54,452	1
55,36	1
56,46	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.8125
Min length	5

Characters and Unicode

Total characters	93
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	53,447
2nd row	53,795
3rd row	54,452
4th row	55,36
5th row	56,46

Common Values

Value	Count	Frequency (%)
53,447	1	6.2%
53,795	1	6.2%
54,452	1	6.2%
55,36	1	6.2%
56,46	1	6.2%
57,669	1	6.2%
58,895	1	6.2%
60,06	1	6.2%
61,099	1	6.2%
61,968	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
53,447	1	6.2%
53,795	1	6.2%
54,452	1	6.2%
55,36	1	6.2%
56,46	1	6.2%
57,669	1	6.2%
58,895	1	6.2%
60,06	1	6.2%
61,099	1	6.2%
61,968	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
6	17	18.3%
,	16	17.2%
5	14	15.1%
3	10	10.8%
4	8	8.6%
9	8	8.6%
7	5	5.4%
8	5	5.4%
1	5	5.4%
0	3	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77	82.8%
Other Punctuation	16	17.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	17	22.1%
5	14	18.2%
3	10	13.0%
4	8	10.4%
9	8	10.4%
7	5	6.5%
8	5	6.5%
1	5	6.5%
0	3	3.9%
2	2	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	93	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	17	18.3%
,	16	17.2%
5	14	15.1%
3	10	10.8%
4	8	8.6%
9	8	8.6%
7	5	5.4%
8	5	5.4%
1	5	5.4%
0	3	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	93	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	17	18.3%
,	16	17.2%
5	14	15.1%
3	10	10.8%
4	8	8.6%
9	8	8.6%
7	5	5.4%
8	5	5.4%
1	5	5.4%
0	3	3.2%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

72,985	1
73,271	1
73,553	1
73,835	1
74,119	1
Other values (11)	11

Length

Max length	6
Median length	6
Mean length	5.875
Min length	5

Characters and Unicode

Total characters	94
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	72,985
2nd row	73,271
3rd row	73,553
4th row	73,835
5th row	74,119

Common Values

Value	Count	Frequency (%)
72,985	1	6.2%
73,271	1	6.2%
73,553	1	6.2%
73,835	1	6.2%
74,119	1	6.2%
74,409	1	6.2%
74,708	1	6.2%
75,013	1	6.2%
75,321	1	6.2%
75,629	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
72,985	1	6.2%
73,271	1	6.2%
73,553	1	6.2%
73,835	1	6.2%
74,119	1	6.2%
74,409	1	6.2%
74,708	1	6.2%
75,013	1	6.2%
75,321	1	6.2%
75,629	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
7	22	23.4%
,	16	17.0%
5	8	8.5%
2	7	7.4%
9	7	7.4%
3	7	7.4%
1	7	7.4%
4	6	6.4%
0	5	5.3%
6	5	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	78	83.0%
Other Punctuation	16	17.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	22	28.2%
5	8	10.3%
2	7	9.0%
9	7	9.0%
3	7	9.0%
1	7	9.0%
4	6	7.7%
0	5	6.4%
6	5	6.4%
8	4	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	94	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	22	23.4%
,	16	17.0%
5	8	8.5%
2	7	7.4%
9	7	7.4%
3	7	7.4%
1	7	7.4%
4	6	6.4%
0	5	5.3%
6	5	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	22	23.4%
,	16	17.0%
5	8	8.5%
2	7	7.4%
9	7	7.4%
3	7	7.4%
1	7	7.4%
4	6	6.4%
0	5	5.3%
6	5	5.3%

Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	16
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	256.0 B

68,92021195	1
69,26229064	1
69,5915489	1
69,89951482	1
70,24645381	1
Other values (11)	11

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	10

Characters and Unicode

Total characters	175
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	68,92021195
2nd row	69,26229064
3rd row	69,5915489
4th row	69,89951482
5th row	70,24645381

Common Values

Value	Count	Frequency (%)
68,92021195	1	6.2%
69,26229064	1	6.2%
69,5915489	1	6.2%
69,89951482	1	6.2%
70,24645381	1	6.2%
70,55669028	1	6.2%
70,88401703	1	6.2%
71,17329899	1	6.2%
71,46586441	1	6.2%
71,74605473	1	6.2%
Other values (6)	6	37.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
68,92021195	1	6.2%
69,26229064	1	6.2%
69,5915489	1	6.2%
69,89951482	1	6.2%
70,24645381	1	6.2%
70,55669028	1	6.2%
70,88401703	1	6.2%
71,17329899	1	6.2%
71,46586441	1	6.2%
71,74605473	1	6.2%
Other values (6)	6	37.5%

Most occurring characters

Value	Count	Frequency (%)
7	23	13.1%
6	20	11.4%
2	18	10.3%
1	18	10.3%
9	17	9.7%
,	16	9.1%
4	15	8.6%
0	14	8.0%
5	13	7.4%
8	12	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	159	90.9%
Other Punctuation	16	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	23	14.5%
6	20	12.6%
2	18	11.3%
1	18	11.3%
9	17	10.7%
4	15	9.4%
0	14	8.8%
5	13	8.2%
8	12	7.5%
3	9	5.7%

Other Punctuation

Value	Count	Frequency (%)
,	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	23	13.1%
6	20	11.4%
2	18	10.3%
1	18	10.3%
9	17	9.7%
,	16	9.1%
4	15	8.6%
0	14	8.0%
5	13	7.4%
8	12	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	23	13.1%
6	20	11.4%
2	18	10.3%
1	18	10.3%
9	17	9.7%
,	16	9.1%
4	15	8.6%
0	14	8.0%
5	13	7.4%
8	12	6.9%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

4086,503407	1
4204,654689	1
3985,811955	1
4036,830781	1
3790,501152	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	121
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	4086,503407
2nd row	4204,654689
3rd row	3985,811955
4th row	4036,830781
5th row	3790,501152

Common Values

Value	Count	Frequency (%)
4086,503407	1	6.2%
4204,654689	1	6.2%
3985,811955	1	6.2%
4036,830781	1	6.2%
3790,501152	1	6.2%
3997,079421	1	6.2%
3869,816229	1	6.2%
3876,948104	1	6.2%
3939,529563	1	6.2%
3779,461921	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4086,503407	1	9.1%
4204,654689	1	9.1%
3985,811955	1	9.1%
4036,830781	1	9.1%
3790,501152	1	9.1%
3997,079421	1	9.1%
3869,816229	1	9.1%
3876,948104	1	9.1%
3939,529563	1	9.1%
3779,461921	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
9	16	13.2%
3	13	10.7%
4	12	9.9%
1	12	9.9%
8	11	9.1%
,	11	9.1%
5	11	9.1%
0	10	8.3%
6	9	7.4%
7	9	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	110	90.9%
Other Punctuation	11	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	16	14.5%
3	13	11.8%
4	12	10.9%
1	12	10.9%
8	11	10.0%
5	11	10.0%
0	10	9.1%
6	9	8.2%
7	9	8.2%
2	7	6.4%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	16	13.2%
3	13	10.7%
4	12	9.9%
1	12	9.9%
8	11	9.1%
,	11	9.1%
5	11	9.1%
0	10	8.3%
6	9	7.4%
7	9	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	16	13.2%
3	13	10.7%
4	12	9.9%
1	12	9.9%
8	11	9.1%
,	11	9.1%
5	11	9.1%
0	10	8.3%
6	9	7.4%
7	9	7.4%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

4287,157074	1
4188,843259	1
4115,52724	1
4110,585978	1
3913,457942	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	10.72727273
Min length	9

Characters and Unicode

Total characters	118
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	4287,157074
2nd row	4188,843259
3rd row	4115,52724
4th row	4110,585978
5th row	3913,457942

Common Values

Value	Count	Frequency (%)
4287,157074	1	6.2%
4188,843259	1	6.2%
4115,52724	1	6.2%
4110,585978	1	6.2%
3913,457942	1	6.2%
4016,848071	1	6.2%
3847,0722	1	6.2%
3836,656299	1	6.2%
3833,534259	1	6.2%
3659,087795	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4287,157074	1	9.1%
4188,843259	1	9.1%
4115,52724	1	9.1%
4110,585978	1	9.1%
3913,457942	1	9.1%
4016,848071	1	9.1%
3847,0722	1	9.1%
3836,656299	1	9.1%
3833,534259	1	9.1%
3659,087795	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
3	14	11.9%
4	13	11.0%
8	13	11.0%
7	12	10.2%
5	12	10.2%
,	11	9.3%
2	10	8.5%
1	10	8.5%
9	10	8.5%
0	7	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	107	90.7%
Other Punctuation	11	9.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	14	13.1%
4	13	12.1%
8	13	12.1%
7	12	11.2%
5	12	11.2%
2	10	9.3%
1	10	9.3%
9	10	9.3%
0	7	6.5%
6	6	5.6%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	118	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	14	11.9%
4	13	11.0%
8	13	11.0%
7	12	10.2%
5	12	10.2%
,	11	9.3%
2	10	8.5%
1	10	8.5%
9	10	8.5%
0	7	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	118	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	14	11.9%
4	13	11.0%
8	13	11.0%
7	12	10.2%
5	12	10.2%
,	11	9.3%
2	10	8.5%
1	10	8.5%
9	10	8.5%
0	7	5.9%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

3214,674121	1
3175,799871	1
3149,576553	1
3087,566331	1
2869,920712	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	121
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	3214,674121
2nd row	3175,799871
3rd row	3149,576553
4th row	3087,566331
5th row	2869,920712

Common Values

Value	Count	Frequency (%)
3214,674121	1	6.2%
3175,799871	1	6.2%
3149,576553	1	6.2%
3087,566331	1	6.2%
2869,920712	1	6.2%
2930,588524	1	6.2%
2828,404891	1	6.2%
2709,297728	1	6.2%
2579,472543	1	6.2%
2414,484002	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3214,674121	1	9.1%
3175,799871	1	9.1%
3149,576553	1	9.1%
3087,566331	1	9.1%
2869,920712	1	9.1%
2930,588524	1	9.1%
2828,404891	1	9.1%
2709,297728	1	9.1%
2579,472543	1	9.1%
2414,484002	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
2	17	14.0%
4	15	12.4%
7	13	10.7%
1	11	9.1%
,	11	9.1%
5	11	9.1%
8	11	9.1%
9	10	8.3%
3	9	7.4%
0	7	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	110	90.9%
Other Punctuation	11	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17	15.5%
4	15	13.6%
7	13	11.8%
1	11	10.0%
5	11	10.0%
8	11	10.0%
9	10	9.1%
3	9	8.2%
0	7	6.4%
6	6	5.5%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17	14.0%
4	15	12.4%
7	13	10.7%
1	11	9.1%
,	11	9.1%
5	11	9.1%
8	11	9.1%
9	10	8.3%
3	9	7.4%
0	7	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17	14.0%
4	15	12.4%
7	13	10.7%
1	11	9.1%
,	11	9.1%
5	11	9.1%
8	11	9.1%
9	10	8.3%
3	9	7.4%
0	7	5.8%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

4062,979049	1
4053,883437	1
4012,654245	1
3858,434521	1
3678,511133	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	10.90909091
Min length	10

Characters and Unicode

Total characters	120
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	4062,979049
2nd row	4053,883437
3rd row	4012,654245
4th row	3858,434521
5th row	3678,511133

Common Values

Value	Count	Frequency (%)
4062,979049	1	6.2%
4053,883437	1	6.2%
4012,654245	1	6.2%
3858,434521	1	6.2%
3678,511133	1	6.2%
3893,266604	1	6.2%
3610,812169	1	6.2%
3537,36317	1	6.2%
3567,629354	1	6.2%
3470,763129	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4062,979049	1	9.1%
4053,883437	1	9.1%
4012,654245	1	9.1%
3858,434521	1	9.1%
3678,511133	1	9.1%
3893,266604	1	9.1%
3610,812169	1	9.1%
3537,36317	1	9.1%
3567,629354	1	9.1%
3470,763129	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
3	20	16.7%
4	13	10.8%
6	13	10.8%
,	11	9.2%
5	11	9.2%
1	11	9.2%
2	10	8.3%
7	9	7.5%
8	8	6.7%
0	7	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	109	90.8%
Other Punctuation	11	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	20	18.3%
4	13	11.9%
6	13	11.9%
5	11	10.1%
1	11	10.1%
2	10	9.2%
7	9	8.3%
8	8	7.3%
0	7	6.4%
9	7	6.4%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	120	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	20	16.7%
4	13	10.8%
6	13	10.8%
,	11	9.2%
5	11	9.2%
1	11	9.2%
2	10	8.3%
7	9	7.5%
8	8	6.7%
0	7	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	20	16.7%
4	13	10.8%
6	13	10.8%
,	11	9.2%
5	11	9.2%
1	11	9.2%
2	10	8.3%
7	9	7.5%
8	8	6.7%
0	7	5.8%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

8422,034308	1
8239,946371	1
8213,389543	1
8194,880771	1
7797,121136	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	10.90909091
Min length	10

Characters and Unicode

Total characters	120
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	8422,034308
2nd row	8239,946371
3rd row	8213,389543
4th row	8194,880771
5th row	7797,121136

Common Values

Value	Count	Frequency (%)
8422,034308	1	6.2%
8239,946371	1	6.2%
8213,389543	1	6.2%
8194,880771	1	6.2%
7797,121136	1	6.2%
7788,560786	1	6.2%
7911,554588	1	6.2%
7733,411655	1	6.2%
7743,725742	1	6.2%
7897,855615	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8422,034308	1	9.1%
8239,946371	1	9.1%
8213,389543	1	9.1%
8194,880771	1	9.1%
7797,121136	1	9.1%
7788,560786	1	9.1%
7911,554588	1	9.1%
7733,411655	1	9.1%
7743,725742	1	9.1%
7897,855615	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
7	20	16.7%
8	15	12.5%
1	14	11.7%
3	13	10.8%
5	12	10.0%
,	11	9.2%
4	10	8.3%
2	7	5.8%
9	7	5.8%
6	7	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	109	90.8%
Other Punctuation	11	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	20	18.3%
8	15	13.8%
1	14	12.8%
3	13	11.9%
5	12	11.0%
4	10	9.2%
2	7	6.4%
9	7	6.4%
6	7	6.4%
0	4	3.7%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	120	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	20	16.7%
8	15	12.5%
1	14	11.7%
3	13	10.8%
5	12	10.0%
,	11	9.2%
4	10	8.3%
2	7	5.8%
9	7	5.8%
6	7	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	20	16.7%
8	15	12.5%
1	14	11.7%
3	13	10.8%
5	12	10.0%
,	11	9.2%
4	10	8.3%
2	7	5.8%
9	7	5.8%
6	7	5.8%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	6
Missing (%)	37.5%
Memory size	256.0 B

4540,908156	1
4688,391023	1
4709,844887	1
4823,125995	1
4531,286463	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	110
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	4540,908156
2nd row	4688,391023
3rd row	4709,844887
4th row	4823,125995
5th row	4531,286463

Common Values

Value	Count	Frequency (%)
4540,908156	1	6.2%
4688,391023	1	6.2%
4709,844887	1	6.2%
4823,125995	1	6.2%
4531,286463	1	6.2%
4819,040782	1	6.2%
5049,426631	1	6.2%
5167,010353	1	6.2%
5078,626342	1	6.2%
4942,875483	1	6.2%
(Missing)	6	37.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4540,908156	1	10.0%
4688,391023	1	10.0%
4709,844887	1	10.0%
4823,125995	1	10.0%
4531,286463	1	10.0%
4819,040782	1	10.0%
5049,426631	1	10.0%
5167,010353	1	10.0%
5078,626342	1	10.0%
4942,875483	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
4	17	15.5%
8	13	11.8%
5	10	9.1%
0	10	9.1%
,	10	9.1%
3	10	9.1%
6	9	8.2%
2	9	8.2%
9	8	7.3%
1	8	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	100	90.9%
Other Punctuation	10	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	17	17.0%
8	13	13.0%
5	10	10.0%
0	10	10.0%
3	10	10.0%
6	9	9.0%
2	9	9.0%
9	8	8.0%
1	8	8.0%
7	6	6.0%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	110	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	17	15.5%
8	13	11.8%
5	10	9.1%
0	10	9.1%
,	10	9.1%
3	10	9.1%
6	9	8.2%
2	9	8.2%
9	8	7.3%
1	8	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	17	15.5%
8	13	11.8%
5	10	9.1%
0	10	9.1%
,	10	9.1%
3	10	9.1%
6	9	8.2%
2	9	8.2%
9	8	7.3%
1	8	7.3%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

7846,499688	1
7697,652535	1
7758,165986	1
7488,081921	1
7056,783653	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	121
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	7846,499688
2nd row	7697,652535
3rd row	7758,165986
4th row	7488,081921
5th row	7056,783653

Common Values

Value	Count	Frequency (%)
7846,499688	1	6.2%
7697,652535	1	6.2%
7758,165986	1	6.2%
7488,081921	1	6.2%
7056,783653	1	6.2%
7161,426552	1	6.2%
7029,954601	1	6.2%
6872,027284	1	6.2%
6905,598633	1	6.2%
6960,683997	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
7846,499688	1	9.1%
7697,652535	1	9.1%
7758,165986	1	9.1%
7488,081921	1	9.1%
7056,783653	1	9.1%
7161,426552	1	9.1%
7029,954601	1	9.1%
6872,027284	1	9.1%
6905,598633	1	9.1%
6960,683997	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
6	20	16.5%
7	14	11.6%
8	14	11.6%
9	14	11.6%
5	12	9.9%
,	11	9.1%
0	9	7.4%
2	8	6.6%
3	7	5.8%
4	6	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	110	90.9%
Other Punctuation	11	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	20	18.2%
7	14	12.7%
8	14	12.7%
9	14	12.7%
5	12	10.9%
0	9	8.2%
2	8	7.3%
3	7	6.4%
4	6	5.5%
1	6	5.5%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	20	16.5%
7	14	11.6%
8	14	11.6%
9	14	11.6%
5	12	9.9%
,	11	9.1%
0	9	7.4%
2	8	6.6%
3	7	5.8%
4	6	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	20	16.5%
7	14	11.6%
8	14	11.6%
9	14	11.6%
5	12	9.9%
,	11	9.1%
0	9	7.4%
2	8	6.6%
3	7	5.8%
4	6	5.0%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

3686,359905	1
3598,810406	1
3441,640219	1
3361,980517	1
3145,585662	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	121
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	3686,359905
2nd row	3598,810406
3rd row	3441,640219
4th row	3361,980517
5th row	3145,585662

Common Values

Value	Count	Frequency (%)
3686,359905	1	6.2%
3598,810406	1	6.2%
3441,640219	1	6.2%
3361,980517	1	6.2%
3145,585662	1	6.2%
3230,615984	1	6.2%
2972,153065	1	6.2%
3042,859871	1	6.2%
2987,700589	1	6.2%
2777,310987	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3686,359905	1	9.1%
3598,810406	1	9.1%
3441,640219	1	9.1%
3361,980517	1	9.1%
3145,585662	1	9.1%
3230,615984	1	9.1%
2972,153065	1	9.1%
3042,859871	1	9.1%
2987,700589	1	9.1%
2777,310987	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
5	13	10.7%
3	12	9.9%
6	12	9.9%
1	12	9.9%
8	11	9.1%
,	11	9.1%
9	11	9.1%
0	11	9.1%
7	11	9.1%
2	9	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	110	90.9%
Other Punctuation	11	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	13	11.8%
3	12	10.9%
6	12	10.9%
1	12	10.9%
8	11	10.0%
9	11	10.0%
0	11	10.0%
7	11	10.0%
2	9	8.2%
4	8	7.3%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	13	10.7%
3	12	9.9%
6	12	9.9%
1	12	9.9%
8	11	9.1%
,	11	9.1%
9	11	9.1%
0	11	9.1%
7	11	9.1%
2	9	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	13	10.7%
3	12	9.9%
6	12	9.9%
1	12	9.9%
8	11	9.1%
,	11	9.1%
9	11	9.1%
0	11	9.1%
7	11	9.1%
2	9	7.4%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	6
Missing (%)	37.5%
Memory size	256.0 B

1156,907537	1
1184,145121	1
1238,411628	1
1294,480833	1
1240,177304	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	110
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	1156,907537
2nd row	1184,145121
3rd row	1238,411628
4th row	1294,480833
5th row	1240,177304

Common Values

Value	Count	Frequency (%)
1156,907537	1	6.2%
1184,145121	1	6.2%
1238,411628	1	6.2%
1294,480833	1	6.2%
1240,177304	1	6.2%
1358,502402	1	6.2%
1367,188049	1	6.2%
1413,733385	1	6.2%
1461,076774	1	6.2%
1495,541141	1	6.2%
(Missing)	6	37.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1156,907537	1	10.0%
1184,145121	1	10.0%
1238,411628	1	10.0%
1294,480833	1	10.0%
1240,177304	1	10.0%
1358,502402	1	10.0%
1367,188049	1	10.0%
1413,733385	1	10.0%
1461,076774	1	10.0%
1495,541141	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
1	24	21.8%
4	15	13.6%
3	11	10.0%
,	10	9.1%
7	9	8.2%
8	9	8.2%
5	8	7.3%
0	8	7.3%
2	7	6.4%
6	5	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	100	90.9%
Other Punctuation	10	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	24	24.0%
4	15	15.0%
3	11	11.0%
7	9	9.0%
8	9	9.0%
5	8	8.0%
0	8	8.0%
2	7	7.0%
6	5	5.0%
9	4	4.0%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	110	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	24	21.8%
4	15	13.6%
3	11	10.0%
,	10	9.1%
7	9	8.2%
8	9	8.2%
5	8	7.3%
0	8	7.3%
2	7	6.4%
6	5	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	24	21.8%
4	15	13.6%
3	11	10.0%
,	10	9.1%
7	9	8.2%
8	9	8.2%
5	8	7.3%
0	8	7.3%
2	7	6.4%
6	5	4.5%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	6
Missing (%)	37.5%
Memory size	256.0 B

449,765857	1
466,1382611	1
485,0996287	1
501,5596362	1
544,6265973	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	10.8
Min length	10

Characters and Unicode

Total characters	108
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	449,765857
2nd row	466,1382611
3rd row	485,0996287
4th row	501,5596362
5th row	544,6265973

Common Values

Value	Count	Frequency (%)
449,765857	1	6.2%
466,1382611	1	6.2%
485,0996287	1	6.2%
501,5596362	1	6.2%
544,6265973	1	6.2%
561,6534059	1	6.2%
577,9944263	1	6.2%
599,1556198	1	6.2%
605,7940378	1	6.2%
636,571834	1	6.2%
(Missing)	6	37.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
449,765857	1	10.0%
466,1382611	1	10.0%
485,0996287	1	10.0%
501,5596362	1	10.0%
544,6265973	1	10.0%
561,6534059	1	10.0%
577,9944263	1	10.0%
599,1556198	1	10.0%
605,7940378	1	10.0%
636,571834	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
5	17	15.7%
6	16	14.8%
9	12	11.1%
4	11	10.2%
,	10	9.3%
7	9	8.3%
1	8	7.4%
3	8	7.4%
8	7	6.5%
2	5	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	98	90.7%
Other Punctuation	10	9.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	17	17.3%
6	16	16.3%
9	12	12.2%
4	11	11.2%
7	9	9.2%
1	8	8.2%
3	8	8.2%
8	7	7.1%
2	5	5.1%
0	5	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	17	15.7%
6	16	14.8%
9	12	11.1%
4	11	10.2%
,	10	9.3%
7	9	8.3%
1	8	7.4%
3	8	7.4%
8	7	6.5%
2	5	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	17	15.7%
6	16	14.8%
9	12	11.1%
4	11	10.2%
,	10	9.3%
7	9	8.3%
1	8	7.4%
3	8	7.4%
8	7	6.5%
2	5	4.6%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	11
Distinct (%)	100.0%
Missing	5
Missing (%)	31.2%
Memory size	256.0 B

1685,099737	1
1698,585327	1
1662,60258	1
1621,264964	1
1599,516711	1
Other values (6)	6

Length

Max length	11
Median length	11
Mean length	10.90909091
Min length	10

Characters and Unicode

Total characters	120
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	1685,099737
2nd row	1698,585327
3rd row	1662,60258
4th row	1621,264964
5th row	1599,516711

Common Values

Value	Count	Frequency (%)
1685,099737	1	6.2%
1698,585327	1	6.2%
1662,60258	1	6.2%
1621,264964	1	6.2%
1599,516711	1	6.2%
1531,756968	1	6.2%
1587,072071	1	6.2%
1634,697418	1	6.2%
1616,613645	1	6.2%
1561,873342	1	6.2%
(Missing)	5	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1685,099737	1	9.1%
1698,585327	1	9.1%
1662,60258	1	9.1%
1621,264964	1	9.1%
1599,516711	1	9.1%
1531,756968	1	9.1%
1587,072071	1	9.1%
1634,697418	1	9.1%
1616,613645	1	9.1%
1561,873342	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
1	23	19.2%
6	19	15.8%
5	12	10.0%
,	11	9.2%
7	11	9.2%
2	9	7.5%
8	8	6.7%
9	8	6.7%
3	8	6.7%
4	7	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	109	90.8%
Other Punctuation	11	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	23	21.1%
6	19	17.4%
5	12	11.0%
7	11	10.1%
2	9	8.3%
8	8	7.3%
9	8	7.3%
3	8	7.3%
4	7	6.4%
0	4	3.7%

Other Punctuation

Value	Count	Frequency (%)
,	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	120	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	23	19.2%
6	19	15.8%
5	12	10.0%
,	11	9.2%
7	11	9.2%
2	9	7.5%
8	8	6.7%
9	8	6.7%
3	8	6.7%
4	7	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	23	19.2%
6	19	15.8%
5	12	10.0%
,	11	9.2%
7	11	9.2%
2	9	7.5%
8	8	6.7%
9	8	6.7%
3	8	6.7%
4	7	5.8%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	6
Missing (%)	37.5%
Memory size	256.0 B

2678,554224	1
2625,794791	1
2775,615258	1
2950,15361	1
2852,095448	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	10.9
Min length	10

Characters and Unicode

Total characters	109
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	2678,554224
2nd row	2625,794791
3rd row	2775,615258
4th row	2950,15361
5th row	2852,095448

Common Values

Value	Count	Frequency (%)
2678,554224	1	6.2%
2625,794791	1	6.2%
2775,615258	1	6.2%
2950,15361	1	6.2%
2852,095448	1	6.2%
2768,094507	1	6.2%
2716,681173	1	6.2%
2636,684726	1	6.2%
2602,845598	1	6.2%
2695,505776	1	6.2%
(Missing)	6	37.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2678,554224	1	10.0%
2625,794791	1	10.0%
2775,615258	1	10.0%
2950,15361	1	10.0%
2852,095448	1	10.0%
2768,094507	1	10.0%
2716,681173	1	10.0%
2636,684726	1	10.0%
2602,845598	1	10.0%
2695,505776	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
2	17	15.6%
5	16	14.7%
6	14	12.8%
7	12	11.0%
,	10	9.2%
8	9	8.3%
4	8	7.3%
9	7	6.4%
1	7	6.4%
0	6	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	99	90.8%
Other Punctuation	10	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17	17.2%
5	16	16.2%
6	14	14.1%
7	12	12.1%
8	9	9.1%
4	8	8.1%
9	7	7.1%
1	7	7.1%
0	6	6.1%
3	3	3.0%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	109	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17	15.6%
5	16	14.7%
6	14	12.8%
7	12	11.0%
,	10	9.2%
8	9	8.3%
4	8	7.3%
9	7	6.4%
1	7	6.4%
0	6	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17	15.6%
5	16	14.7%
6	14	12.8%
7	12	11.0%
,	10	9.2%
8	9	8.3%
4	8	7.3%
9	7	6.4%
1	7	6.4%
0	6	5.5%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	6
Missing (%)	37.5%
Memory size	256.0 B

1393,691324	1
1515,173678	1
1630,171029	1
1672,90412	1
1778,433519	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	10.9
Min length	10

Characters and Unicode

Total characters	109
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	1393,691324
2nd row	1515,173678
3rd row	1630,171029
4th row	1672,90412
5th row	1778,433519

Common Values

Value	Count	Frequency (%)
1393,691324	1	6.2%
1515,173678	1	6.2%
1630,171029	1	6.2%
1672,90412	1	6.2%
1778,433519	1	6.2%
1954,722556	1	6.2%
2085,083022	1	6.2%
2149,602569	1	6.2%
2204,243299	1	6.2%
2224,354898	1	6.2%
(Missing)	6	37.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1393,691324	1	10.0%
1515,173678	1	10.0%
1630,171029	1	10.0%
1672,90412	1	10.0%
1778,433519	1	10.0%
1954,722556	1	10.0%
2085,083022	1	10.0%
2149,602569	1	10.0%
2204,243299	1	10.0%
2224,354898	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
2	18	16.5%
1	14	12.8%
9	11	10.1%
3	10	9.2%
,	10	9.2%
4	9	8.3%
5	9	8.3%
0	8	7.3%
6	7	6.4%
7	7	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	99	90.8%
Other Punctuation	10	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	18	18.2%
1	14	14.1%
9	11	11.1%
3	10	10.1%
4	9	9.1%
5	9	9.1%
0	8	8.1%
6	7	7.1%
7	7	7.1%
8	6	6.1%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	109	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	18	16.5%
1	14	12.8%
9	11	10.1%
3	10	9.2%
,	10	9.2%
4	9	8.3%
5	9	8.3%
0	8	7.3%
6	7	6.4%
7	7	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	18	16.5%
1	14	12.8%
9	11	10.1%
3	10	9.2%
,	10	9.2%
4	9	8.3%
5	9	8.3%
0	8	7.3%
6	7	6.4%
7	7	6.4%

Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	6
Missing (%)	37.5%
Memory size	256.0 B

1767,06317	1
1796,644789	1
1824,035298	1
1829,629201	1
1796,215452	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	10.9
Min length	10

Characters and Unicode

Total characters	109
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	1767,06317
2nd row	1796,644789
3rd row	1824,035298
4th row	1829,629201
5th row	1796,215452

Common Values

Value	Count	Frequency (%)
1767,06317	1	6.2%
1796,644789	1	6.2%
1824,035298	1	6.2%
1829,629201	1	6.2%
1796,215452	1	6.2%
1874,657688	1	6.2%
1881,477548	1	6.2%
1891,700426	1	6.2%
1894,112059	1	6.2%
1919,991765	1	6.2%
(Missing)	6	37.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1767,06317	1	10.0%
1796,644789	1	10.0%
1824,035298	1	10.0%
1829,629201	1	10.0%
1796,215452	1	10.0%
1874,657688	1	10.0%
1881,477548	1	10.0%
1891,700426	1	10.0%
1894,112059	1	10.0%
1919,991765	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
1	19	17.4%
9	13	11.9%
7	12	11.0%
8	12	11.0%
6	10	9.2%
,	10	9.2%
4	9	8.3%
2	9	8.3%
5	7	6.4%
0	6	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	99	90.8%
Other Punctuation	10	9.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	19	19.2%
9	13	13.1%
7	12	12.1%
8	12	12.1%
6	10	10.1%
4	9	9.1%
2	9	9.1%
5	7	7.1%
0	6	6.1%
3	2	2.0%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	109	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	19	17.4%
9	13	11.9%
7	12	11.0%
8	12	11.0%
6	10	9.2%
,	10	9.2%
4	9	8.3%
2	9	8.3%
5	7	6.4%
0	6	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	19	17.4%
9	13	11.9%
7	12	11.0%
8	12	11.0%
6	10	9.2%
,	10	9.2%
4	9	8.3%
2	9	8.3%
5	7	6.4%
0	6	5.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	year	dispute	non_violent_crises	violent_crises	limited_wars	wars	total	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]	GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]	GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]	GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]	GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]	GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]	GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]	GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]	GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]	GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]	GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]	GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]	GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]	GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]	GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]	Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]	Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]	Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]	Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]	Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Germany [DEU]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - France [FRA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Italy [ITA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Japan [JPN]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Canada [CAN]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Russian Federation [RUS]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United States [USA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United Kingdom [GBR]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Canada [CAN]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United States [USA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United Kingdom [GBR]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]
0	1970-01-01 00:00:00.000002005	63	93	90	26	2	274	0,731707164	1,66321998	0,817848974	1,803900872	4,995860869	6,399965448	3,513213799	2,59328001	3,202132062	7,923430621	2,307807066	5,277051973	11,39459181	4,048174008	2,84686E+12	2,19695E+12	1,85822E+12	4,83147E+12	1,17311E+12	7,64017E+11	1,30366E+13	2,54483E+12	8,91634E+11	8,20382E+11	8,77476E+11	2,88868E+11	2,28597E+12	4,77779E+13	1,065629701	2,023706919	1,605170416	0,931581653	1,110669655	3,330103192	4,090034876	2,434203228	1,524013393	2,754907666	0,355958931	1,38376969	1,85334244	2,394431087	30324965179	44442050523	29737642392	44300613330	12988132964	27336977274	5,33203E+11	61653635038	13588619736	23072312925	3123454978	3566963815	42789953651	1,15955E+12	8,3	12,8	9,6	8,41	10,6	10,2	14	12	17,243	24,087	21,741	23,073	12,4	20,55193051	78,93170732	80,16341463	80,78292683	81,92512195	80,19268293	65,5297561	77,48780488	79,04878049	71,896	64,5	75,3	53,447	72,985	68,92021195	4086,503407	4287,157074	3214,674121	4062,979049	8422,034308	4540,908156	7846,499688	3686,359905	1156,907537	449,765857	1685,099737	2678,554224	1393,691324	1767,06317
1	1970-01-01 00:00:00.000002006	72	114	104	30	6	326	3,816441913	2,449323601	1,790639681	1,372350128	4,165817627	8,200068255	2,854972294	2,584104677	3,961988709	8,060732573	4,495077894	5,603806459	12,72095567	4,495625664	2,9947E+12	2,32054E+12	1,94955E+12	4,60166E+12	1,31926E+12	9,89931E+11	1,38146E+13	2,71706E+12	1,10763E+12	9,4026E+11	9,75387E+11	3,03861E+11	2,75213E+12	5,17787E+13	1,199302958	1,9750983	1,525482905	0,917197038	1,125832408	3,245254379	4,041627237	2,373086999	1,481084895	2,52680863	0,311171936	1,290746983	1,85464884	2,364165577	35883657973	45792148416	29633022263	41552592886	14809892803	34517781619	5,58335E+11	64217619528	16404867307	23951927958	3035131019	3506139658	51453373234	1,20604E+12	8,2	13,1	9,6	8,65	10,9	10,3	14,3	12,3	16,747	23,564	21,343	23,238	12,09	20,39775655	79,13170732	80,81219512	81,28292683	82,32195122	80,34390244	66,72756098	77,68780488	79,24878049	72,26	64,918	75,296	53,795	73,271	69,26229064	4204,654689	4188,843259	3175,799871	4053,883437	8239,946371	4688,391023	7697,652535	3598,810406	1184,145121	466,1382611	1698,585327	2625,794791	1515,173678	1796,644789
2	1970-01-01 00:00:00.000002007	79	126	107	26	6	344	2,976455131	2,424736243	1,48707298	1,483969412	6,868608857	8,499977768	1,876171454	2,269486875	6,069870607	7,660815065	2,291445714	5,360474054	14,23086093	4,438754307	3,42558E+12	2,66059E+12	2,2131E+12	4,57975E+12	1,46882E+12	1,29971E+12	1,44519E+13	3,10618E+12	1,39711E+12	1,21674E+12	1,0527E+12	3,33075E+11	3,55034E+12	5,83375E+13	1,172471765	1,907528634	1,447052519	0,897626654	1,188901783	3,118542079	4,079655081	2,374207748	1,4662921	2,478248209	0,401163918	1,177517253	1,739812859	2,328462871	40110859276	50684467384	31982431792	40530045688	17417139931	43534994996	5,89586E+11	73448032014	20485758015	28254773450	4223037646	3525684244	62136590755	1,33768E+12	8,3	12,8	9,7	8,63	11,2	11,3	14,3	12,6	16,306	22,996	20,973	23,367	12,1	20,30710105	79,53414634	81,11219512	81,43414634	82,50707317	80,54390244	67,58682927	77,98780488	79,44878049	72,618	65,35	75,255	54,452	73,553	69,5915489	3985,811955	4115,52724	3149,576553	4012,654245	8213,389543	4709,844887	7758,165986	3441,640219	1238,411628	485,0996287	1662,60258	2775,615258	1630,171029	1824,035298
3	1970-01-01 00:00:00.000002008	82	130	102	30	9	353	0,959879134	0,25494596	-0,962012841	-1,224289001	1,007622695	5,199969265	-0,136579803	-0,239638085	5,094195448	3,08669806	1,143584587	3,191043886	9,65067892	2,000830512	3,74526E+12	2,9303E+12	2,40866E+12	5,10668E+12	1,55299E+12	1,66085E+12	1,47128E+13	2,93888E+12	1,69586E+12	1,1989E+12	1,10999E+12	3,16132E+11	4,59431E+12	6,40715E+13	1,209034004	1,897075896	1,535674984	0,920247843	1,248621382	3,149486017	4,463827356	2,495723016	1,441924093	2,631462141	0,390513227	1,145843314	1,712334361	2,386424706	45098956312	55365965845	36839989746	46361468280	19342058405	56183785393	6,56756E+11	72915407670	24452903036	33002376727	4334654124	3285925081	78840802820	1,50972E+12	8,3	12,9	9,8	8,7	11,4	12	14	12,9	15,921	22,39	20,635	23,433	12,14	20,19625896	79,73658537	81,21463415	81,48536585	82,58756098	80,69512195	67,94926829	78,03902439	79,6	72,966	65,794	75,194	55,36	73,835	69,89951482	4036,830781	4110,585978	3087,566331	3858,434521	8194,880771	4823,125995	7488,081921	3361,980517	1294,480833	501,5596362	1621,264964	2950,15361	1672,90412	1829,629201
4	1970-01-01 00:00:00.000002009	107	118	110	25	8	368	-5,693836336	-2,873313828	-5,280937208	-5,693236359	-2,928400167	-7,799993913	-2,536757067	-4,247356266	-0,125812003	7,861888833	-5,285744137	-1,538089135	9,398725632	-1,307257	3,41126E+12	2,70089E+12	2,19993E+12	5,28949E+12	1,37463E+12	1,22264E+12	1,44489E+13	2,4258E+12	1,667E+12	1,34189E+12	9,00045E+11	3,29753E+11	5,1017E+12	6,0781E+13	1,310604073	2,098147335	1,554210702	0,983777357	1,377555631	3,924063399	4,88559968	2,653485016	1,538625697	3,129387179	0,501556275	1,214002043	1,886133152	2,617904287	44528927836	56441455398	34054481324	51465158208	18936226052	51532116798	7,05917E+11	64010506670	25648809911	38722154392	4514233914	3592687702	96601666753	1,56427E+12	8,1	12,8	9,6	8,5	11,3	12,3	13,5	12,7	15,595	21,755	20,327	23,417	11,95	19,96785143	79,83658537	81,41463415	81,63658537	82,93146341	80,99512195	68,68463415	78,3902439	80,05121951	73,3	66,244	75,128	56,46	74,119	70,24645381	3790,501152	3913,457942	2869,920712	3678,511133	7797,121136	4531,286463	7056,783653	3145,585662	1240,177304	544,6265973	1599,516711	2852,095448	1778,433519	1796,215452
5	1970-01-01 00:00:00.000002010	95	108	139	22	6	370	4,179882499	1,949437623	1,713295839	4,097917919	3,08949462	4,5	2,56376656	2,131438198	7,528225818	8,497584702	5,118118143	3,039732881	10,63587106	4,494694569	3,39967E+12	2,64519E+12	2,1361E+12	5,75907E+12	1,61734E+12	1,52492E+12	1,49921E+13	2,49111E+12	2,20884E+12	1,67562E+12	1,0578E+12	4,17365E+11	6,08716E+12	6,65005E+13	1,266826626	1,969419353	1,500494576	0,958851133	1,194338338	3,585085721	4,922641677	2,578159502	1,539406981	2,889461328	0,452734493	1,115808251	1,73947515	2,522910495	43025915012	52044060565	32020819951	54655450735	19315688825	58720227609	7,38005E+11	63979111970	34002944470	46090445657	4789031339	4188168092	1,05523E+11	1,6484E+12	8,3	12,9	9,5	8,5	11,1	12,5	13	12,9	15,327	21,114	20,042	23,305	11,9	19,77870117	79,98780488	81,66341463	82,03658537	82,84268293	81,24634146	68,84121951	78,54146341	80,40243902	73,619	66,693	75,065	57,669	74,409	70,55669028	3997,079421	4016,848071	2930,588524	3893,266604	7788,560786	4819,040782	7161,426552	3230,615984	1358,502402	561,6534059	1531,756968	2768,094507	1954,722556	1874,657688
6	1970-01-01 00:00:00.000002011	106	87	155	19	20	387	3,925192705	2,192700633	0,707333347	0,023809524	3,146881372	4,300029186	1,550835505	1,457563391	3,974423079	5,241315001	3,66300793	3,168556279	9,550832179	3,339617886	3,74931E+12	2,86516E+12	2,29499E+12	6,23315E+12	1,79333E+12	2,04593E+12	1,55426E+13	2,67489E+12	2,61616E+12	1,82305E+12	1,18049E+12	4,58202E+11	7,5515E+12	7,36715E+13	1,206150336	1,891406214	1,475956597	0,986806493	1,193291895	3,433043838	4,840173995	2,502726402	1,411851159	2,704483558	0,465777803	1,103257676	1,665576053	2,412033384	45163212878	54120871010	33828804971	60762213841	21393720864	70237523951	7,52288E+11	66569552573	36936209896	49633815794	5498458542	4594154078	1,25286E+11	1,75048E+12	8,3	12,7	9,2	8,3	11	12,6	12,7	12,8	15,11	20,495	19,766	23,097	13,27	19,85467053	80,43658537	82,11463415	82,18780488	82,59121951	81,44878049	69,68390244	78,64146341	80,95121951	73,921	67,13	75,011	58,895	74,708	70,88401703	3869,816229	3847,0722	2828,404891	3610,812169	7911,554588	5049,426631	7029,954601	2972,153065	1367,188049	577,9944263	1587,072071	2716,681173	2085,083022	1881,477548
7	1970-01-01 00:00:00.000002012	99	85	177	25	19	405	0,418497594	0,313134751	-2,980905768	1,374750999	1,762222549	4,024086157	2,249545852	1,469887521	1,921175985	5,456388753	3,642322679	2,396232385	7,863736449	2,672818411	3,52714E+12	2,68367E+12	2,08696E+12	6,27236E+12	1,82837E+12	2,2083E+12	1,6197E+13	2,71916E+12	2,46523E+12	1,82764E+12	1,20109E+12	4,34401E+11	8,53223E+12	7,53116E+13	1,241677479	1,8710806	1,426924977	0,967427278	1,118404598	3,689240435	4,477401219	2,420564731	1,378656465	2,618167619	0,475987281	1,132793112	1,693368163	2,37288179	43798225349	50216507403	29781008205	60011530195	20452107111	81469399931	7,25205E+11	65452487554	33987005074	47216920048	5717035575	4489590096	1,45128E+11	1,75775E+12	8,4	12,6	9	8,2	11	13,3	12,6	12,8	14,93	19,923	19,488	22,815	14,57	19,95405818	80,53902439	81,96829268	82,23902439	83,09609756	81,64878049	70,07219512	78,74146341	80,90487805	74,209	67,545	74,966	60,06	75,013	71,17329899	3876,948104	3836,656299	2709,297728	3537,36317	7733,411655	5167,010353	6872,027284	3042,859871	1413,733385	599,1556198	1634,697418	2636,684726	2149,602569	1891,700426
8	1970-01-01 00:00:00.000002013	107	82	178	31	20	418	0,437591303	0,576326675	-1,841065451	2,005100177	2,329122506	1,755422149	1,842081071	1,890018342	3,00482267	6,386106401	1,354091962	2,485468008	7,766150098	2,844651633	3,7338E+12	2,81188E+12	2,14192E+12	5,21233E+12	1,8466E+12	2,29247E+12	1,67848E+13	2,80329E+12	2,47282E+12	1,85672E+12	1,27444E+12	4,00886E+11	9,57041E+12	7,74432E+13	1,185257901	1,849875918	1,399020419	0,95086605	1,0023672	3,854042583	4,046678879	2,293640241	1,329446084	2,548825679	0,507919455	1,123274262	1,702855096	2,30441943	44242647303	52001462448	29957445905	49023932407	18515731210	88352896464	6,79229E+11	63837724855	32874787231	47403528801	6473144378	4118208483	1,6407E+11	1,75559E+12	8,5	12,4	8,5	8,2	10,8	13,2	12,4	12,1	14,772	19,416	19,198	22,483	13,03	19,45244784	80,4902439	82,2195122	82,6902439	83,33195122	81,74878049	70,57878049	78,74146341	81,00487805	74,483	67,931	74,93	61,099	75,321	71,46586441	3939,529563	3833,534259	2579,472543	3567,629354	7743,725742	5078,626342	6905,598633	2987,700589	1461,076774	605,7940378	1616,613645	2602,845598	2204,243299	1894,112059
9	1970-01-01 00:00:00.000002014	97	88	181	25	19	410	2,209543431	0,956183052	-0,004547542	0,296205514	2,870036075	0,736267221	2,525973446	2,991164814	0,50395574	7,410227605	2,849773255	1,413826452	7,425763656	3,117752817	3,88909E+12	2,85596E+12	2,16201E+12	4,89699E+12	1,80575E+12	2,05924E+12	1,75272E+13	3,08717E+12	2,45604E+12	2,03913E+12	1,31535E+12	3,81199E+11	1,04757E+13	7,95755E+13	1,149941997	1,862961439	1,282969654	0,966999334	0,989925299	4,112992978	3,69589465	2,183906248	1,330244423	2,543982503	0,513829957	1,109437883	1,728689068	2,251088751	44662831168	53134750899	27701034335	46903466613	17853640478	84696504653	6,47789E+11	66995468654	32660239369	50914096277	6758693845	3892485091	1,82109E+11	1,75419E+12	8,8	12,4	8,3	8	10,8	13,3	12,5	12	14,624	18,984	18,892	22,113	13,83	19,46419186	81,0902439	82,7195122	83,0902439	83,58780488	81,8	70,74365854	78,84146341	81,30487805	74,745	68,286	74,908	61,968	75,629	71,74605473	3779,461921	3659,087795	2414,484002	3470,763129	7897,855615	4942,875483	6960,683997	2777,310987	1495,541141	636,571834	1561,873342	2695,505776	2224,354898	1919,991765

Last rows

	year	dispute	non_violent_crises	violent_crises	limited_wars	wars	total	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Germany [DEU]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - France [FRA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Italy [ITA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Japan [JPN]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Canada [CAN]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Russian Federation [RUS]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United States [USA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - United Kingdom [GBR]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Brazil [BRA]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - India [IND]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - Mexico [MEX]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - South Africa [ZAF]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - China [CHN]	GDP growth (annual %) [NY.GDP.MKTP.KD.ZG] - World [WLD]	GDP (current US$) [NY.GDP.MKTP.CD] - Germany [DEU]	GDP (current US$) [NY.GDP.MKTP.CD] - France [FRA]	GDP (current US$) [NY.GDP.MKTP.CD] - Italy [ITA]	GDP (current US$) [NY.GDP.MKTP.CD] - Japan [JPN]	GDP (current US$) [NY.GDP.MKTP.CD] - Canada [CAN]	GDP (current US$) [NY.GDP.MKTP.CD] - Russian Federation [RUS]	GDP (current US$) [NY.GDP.MKTP.CD] - United States [USA]	GDP (current US$) [NY.GDP.MKTP.CD] - United Kingdom [GBR]	GDP (current US$) [NY.GDP.MKTP.CD] - Brazil [BRA]	GDP (current US$) [NY.GDP.MKTP.CD] - India [IND]	GDP (current US$) [NY.GDP.MKTP.CD] - Mexico [MEX]	GDP (current US$) [NY.GDP.MKTP.CD] - South Africa [ZAF]	GDP (current US$) [NY.GDP.MKTP.CD] - China [CHN]	GDP (current US$) [NY.GDP.MKTP.CD] - World [WLD]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Germany [DEU]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - France [FRA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Italy [ITA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Japan [JPN]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Canada [CAN]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Russian Federation [RUS]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United States [USA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - United Kingdom [GBR]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Brazil [BRA]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - India [IND]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - Mexico [MEX]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - South Africa [ZAF]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - China [CHN]	Military expenditure (% of GDP) [MS.MIL.XPND.GD.ZS] - World [WLD]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Germany [DEU]	Military expenditure (current USD) [MS.MIL.XPND.CD] - France [FRA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Italy [ITA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Japan [JPN]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Canada [CAN]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Russian Federation [RUS]	Military expenditure (current USD) [MS.MIL.XPND.CD] - United States [USA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - United Kingdom [GBR]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Brazil [BRA]	Military expenditure (current USD) [MS.MIL.XPND.CD] - India [IND]	Military expenditure (current USD) [MS.MIL.XPND.CD] - Mexico [MEX]	Military expenditure (current USD) [MS.MIL.XPND.CD] - South Africa [ZAF]	Military expenditure (current USD) [MS.MIL.XPND.CD] - China [CHN]	Military expenditure (current USD) [MS.MIL.XPND.CD] - World [WLD]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Germany [DEU]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - France [FRA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Italy [ITA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Japan [JPN]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Canada [CAN]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Russian Federation [RUS]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United States [USA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - United Kingdom [GBR]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Brazil [BRA]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - India [IND]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - Mexico [MEX]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - South Africa [ZAF]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - China [CHN]	Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN] - World [WLD]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Germany [DEU]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - France [FRA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Italy [ITA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Japan [JPN]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Canada [CAN]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Russian Federation [RUS]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United States [USA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - United Kingdom [GBR]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Brazil [BRA]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - India [IND]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - Mexico [MEX]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - South Africa [ZAF]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - China [CHN]	Life expectancy at birth, total (years) [SP.DYN.LE00.IN] - World [WLD]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Germany [DEU]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - France [FRA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Italy [ITA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Japan [JPN]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Canada [CAN]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Russian Federation [RUS]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United States [USA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - United Kingdom [GBR]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Brazil [BRA]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - India [IND]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - Mexico [MEX]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - South Africa [ZAF]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - China [CHN]	Energy use (kg of oil equivalent per capita) [EG.USE.PCAP.KG.OE] - World [WLD]
6	1970-01-01 00:00:00.000002011	106	87	155	19	20	387	3,925192705	2,192700633	0,707333347	0,023809524	3,146881372	4,300029186	1,550835505	1,457563391	3,974423079	5,241315001	3,66300793	3,168556279	9,550832179	3,339617886	3,74931E+12	2,86516E+12	2,29499E+12	6,23315E+12	1,79333E+12	2,04593E+12	1,55426E+13	2,67489E+12	2,61616E+12	1,82305E+12	1,18049E+12	4,58202E+11	7,5515E+12	7,36715E+13	1,206150336	1,891406214	1,475956597	0,986806493	1,193291895	3,433043838	4,840173995	2,502726402	1,411851159	2,704483558	0,465777803	1,103257676	1,665576053	2,412033384	45163212878	54120871010	33828804971	60762213841	21393720864	70237523951	7,52288E+11	66569552573	36936209896	49633815794	5498458542	4594154078	1,25286E+11	1,75048E+12	8,3	12,7	9,2	8,3	11	12,6	12,7	12,8	15,11	20,495	19,766	23,097	13,27	19,85467053	80,43658537	82,11463415	82,18780488	82,59121951	81,44878049	69,68390244	78,64146341	80,95121951	73,921	67,13	75,011	58,895	74,708	70,88401703	3869,816229	3847,0722	2828,404891	3610,812169	7911,554588	5049,426631	7029,954601	2972,153065	1367,188049	577,9944263	1587,072071	2716,681173	2085,083022	1881,477548
7	1970-01-01 00:00:00.000002012	99	85	177	25	19	405	0,418497594	0,313134751	-2,980905768	1,374750999	1,762222549	4,024086157	2,249545852	1,469887521	1,921175985	5,456388753	3,642322679	2,396232385	7,863736449	2,672818411	3,52714E+12	2,68367E+12	2,08696E+12	6,27236E+12	1,82837E+12	2,2083E+12	1,6197E+13	2,71916E+12	2,46523E+12	1,82764E+12	1,20109E+12	4,34401E+11	8,53223E+12	7,53116E+13	1,241677479	1,8710806	1,426924977	0,967427278	1,118404598	3,689240435	4,477401219	2,420564731	1,378656465	2,618167619	0,475987281	1,132793112	1,693368163	2,37288179	43798225349	50216507403	29781008205	60011530195	20452107111	81469399931	7,25205E+11	65452487554	33987005074	47216920048	5717035575	4489590096	1,45128E+11	1,75775E+12	8,4	12,6	9	8,2	11	13,3	12,6	12,8	14,93	19,923	19,488	22,815	14,57	19,95405818	80,53902439	81,96829268	82,23902439	83,09609756	81,64878049	70,07219512	78,74146341	80,90487805	74,209	67,545	74,966	60,06	75,013	71,17329899	3876,948104	3836,656299	2709,297728	3537,36317	7733,411655	5167,010353	6872,027284	3042,859871	1413,733385	599,1556198	1634,697418	2636,684726	2149,602569	1891,700426
8	1970-01-01 00:00:00.000002013	107	82	178	31	20	418	0,437591303	0,576326675	-1,841065451	2,005100177	2,329122506	1,755422149	1,842081071	1,890018342	3,00482267	6,386106401	1,354091962	2,485468008	7,766150098	2,844651633	3,7338E+12	2,81188E+12	2,14192E+12	5,21233E+12	1,8466E+12	2,29247E+12	1,67848E+13	2,80329E+12	2,47282E+12	1,85672E+12	1,27444E+12	4,00886E+11	9,57041E+12	7,74432E+13	1,185257901	1,849875918	1,399020419	0,95086605	1,0023672	3,854042583	4,046678879	2,293640241	1,329446084	2,548825679	0,507919455	1,123274262	1,702855096	2,30441943	44242647303	52001462448	29957445905	49023932407	18515731210	88352896464	6,79229E+11	63837724855	32874787231	47403528801	6473144378	4118208483	1,6407E+11	1,75559E+12	8,5	12,4	8,5	8,2	10,8	13,2	12,4	12,1	14,772	19,416	19,198	22,483	13,03	19,45244784	80,4902439	82,2195122	82,6902439	83,33195122	81,74878049	70,57878049	78,74146341	81,00487805	74,483	67,931	74,93	61,099	75,321	71,46586441	3939,529563	3833,534259	2579,472543	3567,629354	7743,725742	5078,626342	6905,598633	2987,700589	1461,076774	605,7940378	1616,613645	2602,845598	2204,243299	1894,112059
9	1970-01-01 00:00:00.000002014	97	88	181	25	19	410	2,209543431	0,956183052	-0,004547542	0,296205514	2,870036075	0,736267221	2,525973446	2,991164814	0,50395574	7,410227605	2,849773255	1,413826452	7,425763656	3,117752817	3,88909E+12	2,85596E+12	2,16201E+12	4,89699E+12	1,80575E+12	2,05924E+12	1,75272E+13	3,08717E+12	2,45604E+12	2,03913E+12	1,31535E+12	3,81199E+11	1,04757E+13	7,95755E+13	1,149941997	1,862961439	1,282969654	0,966999334	0,989925299	4,112992978	3,69589465	2,183906248	1,330244423	2,543982503	0,513829957	1,109437883	1,728689068	2,251088751	44662831168	53134750899	27701034335	46903466613	17853640478	84696504653	6,47789E+11	66995468654	32660239369	50914096277	6758693845	3892485091	1,82109E+11	1,75419E+12	8,8	12,4	8,3	8	10,8	13,3	12,5	12	14,624	18,984	18,892	22,113	13,83	19,46419186	81,0902439	82,7195122	83,0902439	83,58780488	81,8	70,74365854	78,84146341	81,30487805	74,745	68,286	74,908	61,968	75,629	71,74605473	3779,461921	3659,087795	2414,484002	3470,763129	7897,855615	4942,875483	6960,683997	2777,310987	1495,541141	636,571834	1561,873342	2695,505776	2224,354898	1919,991765
10	1970-01-01 00:00:00.000002015	90	88	183	24	19	404	1,491931528	1,112912341	0,778304351	1,560626697	0,659176864	-1,972719226	3,07551465	2,622596679	-3,545763393	7,996253786	3,293151528	1,321862237	7,041328879	3,168302448	3,35759E+12	2,43919E+12	1,83664E+12	4,44493E+12	1,55651E+12	1,36348E+12	1,82383E+13	2,95657E+12	1,80221E+12	2,10359E+12	1,17187E+12	3,4671E+11	1,10616E+13	7,51171E+13	1,137338427	1,872258281	1,208228326	0,95925133	1,152709374	4,871514747	3,477845166	2,045503192	1,365517154	2,457450601	0,466676122	1,099182075	1,750717767	2,255098056	38170021071	45647471641	22180845070	42106103306	17937641895	66421822180	6,3383E+11	59990205719	24617701683	51295483754	5468837812	3488867948	1,96539E+11	1,65293E+12	9	12	8	8	10,7	13,3	12,4	11,9	14,472	18,625	18,573	21,719	11,99	18,95222527	80,64146341	82,32195122	82,54390244	83,79390244	81,9	71,18341463	78,6902439	80,95609756	74,994	68,607	74,904	62,649	75,928	71,95211472	3817,549415	3692,017833	2481,754645	3428,557216	7631,34157	NaN	6803,996607	2764,516671	NaN	NaN	1537,261412	NaN	NaN	NaN
11	1970-01-01 00:00:00.000002016	77	72	188	21	18	376	2,229999868	1,095464404	1,293462732	0,753826746	1,001394414	0,193690072	1,711426774	2,263463538	-3,275916906	8,256305502	2,630532425	0,664552308	6,848762205	2,825057288	3,46985E+12	2,47296E+12	1,87707E+12	5,00368E+12	1,52799E+12	1,27679E+12	1,87451E+13	2,72285E+12	1,79569E+12	2,2948E+12	1,07849E+12	3,23586E+11	1,12333E+13	7,63132E+13	1,149654485	1,917282368	1,334835252	0,944838286	1,164161567	5,425147705	3,418942337	1,981438255	1,347975413	2,543151188	0,495064414	1,065199645	1,770695719	2,217853352	39855047309	47370589553	25033027895	46471287714	17782775543	69245294553	6,39856E+11	53327327634	24224746901	56637622641	5336875740	3139312128	1,98538E+11	1,64914E+12	9,6	11,8	7,8	7,8	10,6	12,9	12,2	11,8	14,307	18,332	18,245	21,314	13,57	19,07101724	80,9902439	82,57317073	83,24390244	83,98487805	81,9	71,65121951	78,53902439	81,15609756	75,23	68,897	74,917	63,153	76,21	72,18610065	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
12	1970-01-01 00:00:00.000002017	68	77	190	16	20	371	2,680231114	2,291419994	1,667859041	1,675331752	3,039880225	1,825790064	2,332679395	2,134453093	1,322869054	6,795383419	2,113129135	1,157946952	6,947200793	3,394374337	3,69085E+12	2,59515E+12	1,9618E+12	4,93084E+12	1,64927E+12	1,5742E+12	1,9543E+13	2,69902E+12	2,06351E+12	2,65147E+12	1,15891E+12	3,81449E+11	1,23104E+13	8,12246E+13	1,154049407	1,908642012	1,357370559	0,931980259	1,351602232	4,248996052	3,313381294	1,946324996	1,414485611	2,531462588	0,436510296	1,030060552	1,74645507	2,172198326	42210258091	49195662250	26447892915	45387031802	22269696323	66913033537	6,46753E+11	51633539217	29261833097	64559435281	5062076646	3591507613	2,10443E+11	1,71798E+12	9,5	11,5	7,6	7,6	10,3	11,5	11,8	11,4	14,125	18,083	17,918	20,908	12,64	18,66534705	80,99268293	82,57560976	82,94634146	84,0997561	81,9	72,45146341	78,53902439	81,25609756	75,456	69,165	74,947	63,538	76,47	72,39140625	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
13	1970-01-01 00:00:00.000002018	68	83	173	25	16	365	1,086024514	1,865066071	0,925810941	0,558851275	2,777040554	2,80724541	2,996464352	1,650925496	1,783666761	6,532989011	2,194994725	1,487617373	6,749773832	3,269583641	3,97729E+12	2,79096E+12	2,09193E+12	5,03689E+12	1,72533E+12	1,65733E+12	2,06119E+13	2,90079E+12	1,91693E+12	2,70111E+12	1,22241E+12	4,04842E+11	1,38948E+13	8,62743E+13	1,171816792	1,845053399	1,359542751	0,940993692	1,324681094	3,692518759	3,316248808	1,948755708	1,494203353	2,433922067	0,477517407	0,984961398	1,739533683	2,148120668	46423020903	51409812839	28420098438	46617954864	22729327580	61609204756	6,82491E+11	55680228215	28177406872	66257801718	5839521271	3622918743	2,32531E+11	1,80195E+12	9,5	11,3	7,3	7,4	10,1	10,9	11,6	11	13,924	17,857	17,602	20,51	10,86	18,14881146	80,89268293	82,67560976	83,34634146	84,21097561	82,04878049	72,66219512	78,63902439	81,25609756	75,672	69,416	74,992	63,857	76,704	72,57398037	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
14	1970-01-01 00:00:00.000002019	71	91	158	23	15	358	1,055508247	1,842971814	0,410278294	0,270304645	1,879592028	2,032982739	2,161176515	1,671944197	1,411152985	4,041554187	-0,176599456	0,113053697	5,949714233	2,600814244	3,88833E+12	2,72887E+12	2,00938E+12	5,14878E+12	1,74202E+12	1,68745E+12	2,14332E+13	2,87867E+12	1,87782E+12	2,8705E+12	1,26943E+12	3,87935E+11	1,42799E+13	8,75681E+13	1,269146867	1,845491196	1,316566978	0,937281087	1,27894142	3,832115681	3,427080181	2,013004573	1,407988516	2,519120764	0,52348249	0,978057397	1,727827863	2,18686376	49007512315	50118929212	26380673981	47609019987	22204408440	65201335848	7,34344E+11	56856133066	25906871197	71468900524	6650808254	3435736037	2,40333E+11	1,85993E+12	9,4	11,2	7	7	9,9	10,1	11,4	10,7	13,703	17,644	17,297	20,129	10,41	17,87829381	81,29268293	82,82682927	83,49756098	84,35634146	82,04878049	73,08390244	78,78780488	81,20487805	75,881	69,656	75,054	64,131	76,912	72,76266676	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
15	1970-01-01 00:00:00.000002020	69	70	180	19	21	359	-4,569616717	-7,855256037	-8,9385925	-4,585508281	-5,233024303	-2,951273899	-3,404591573	-9,396160006	-4,059048273	-7,251754782	-8,309034659	-6,431974826	2,347513573	-3,29368304	3,84641E+12	2,63032E+12	1,88871E+12	5,05776E+12	1,64542E+12	1,4835E+12	2,0953E+13	2,7598E+12	1,44473E+12	2,66025E+12	1,07392E+12	3,35442E+11	1,47227E+13	8,4747E+13	1,399730368	2,073321427	1,567524891	0,996825438	1,415055841	4,263449836	3,741160091	2,246546679	1,439168226	2,8826704	0,573651659	1,074193443	1,749795773	2,362472616	52764761199	52747064858	28921342756	49148557003	22754847129	61712537169	7,78232E+11	59238462250	19736347759	72887446604	6116376582	3150828880	2,52304E+11	1,92885E+12	9,3	10,9	6,8	6,8	9,4	9,8	10,9	10,2	13,463	17,437	17,005	19,773	8,52	17,33421502	80,94146341	82,17560976	82,34390244	84,61560976	81,74878049	71,33878049	77,2804878	80,90243902	76,084	69,887	75,131	64,379	77,097	72,74730314	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation